Research Physical Scientist
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Research Interests: (click here to see a list of current research projects)
- Land surface water and energy balance modeling.
- Development of land data assimilation systems to ingest remote sensing retrievals.
- Microwave and radar remote sensing of soil moisture.
- Scale and scalability issues in land surface modeling and remote sensing.
Education:
- 1995 B.A. (Physics) Carleton College, Northfield, MN USA.
- 1998 M.S.E. (Civil and Environmental Engineering) Princeton University, Princeton, NJ USA.
- 2001 Ph.D. (Civil and Environmental Engineering) Princeton University, Princeton, NJ USA.
Professional Experience:
- 2001 - 2002: Post-doctoral research associate for Prof. Eric Wood, Depart. of Civil and Environmental Engineering, Princeton University.
- 2002 - present: Research physical scientist, Agricultural Research Service, Hydrology and Remote Sensing Laboratory, Beltsville, MD.
Selected Awards:
- 2009: Editor's Award for the American Meteorological Society's Journal of Hydrometeorology
- 2010: Principal investigator for funded NASA Terrestrial Ecology grant proposal entitled "Ecological and agricultural productivity forecasting using root-zone soil moisture products derived from the NASA SMAP mission" ($130 K/year for 3 years)
- 2010: Principal investigator for funded NASA Precipitation program grant proposal entitled "Enhancing satellite-based precipitation products using remotely sensed soil moisture retrievals and data assimilation tools" ($100 K/year for 3 years)
- 2011: Principal investigator for funded NASA Aqua/Terra program grant proposal entitled "Development of a continuous multi-satellite land surface temperature product" ($120 K/year for 3 years).
- 2013: Science Team member for the NASA Soil Moisture Active/Passive (SMAP) mission ($140 K/year for 4 years)
- 2014: Principal investigator for funded NASA Aqua/Terra program grant proposal entitled "Integrating microwave and thermal remote sensing for continuous dual source surface energy balance modeling" ($180 K/year for 3 years)
- 2014: Principal investigator for funded NASA Terrestrial Hydrology program grant proposal entitled "Integrating satellite-based surface soil moisture and rainfall accumulation products for improved hydrologic modeling" ($170 K/year for 3 years)
- 2016: Federal Laboratory Consortium for Technology Transfer Interagency Partnership Award
- 2016: NASA Group Award (Soil Moisture Active/Passive Validation).
- 2018: Principal investigator for funded NASA Aqua/Terra program grant proposal entitled "Integrating multi-platform satellite soil moisture and evapotranspiration retrievals to constrain land surface water and energy balance coupling" ($145 K/year for 3 years)
- 2018: Principal investigator for funded NASA Water Resource Applied Sciences Program entitled "High-resolution soil moisture monitoring for improved vineyard water resource management" ($200K/year for 2 years)
- 2019: Co-investigator for the NASA/India Synthetic Aperture Radar (NISAR) mission
- 2020: Re-appointed to the NASA SMAP mission science team ($130 K/year for 3 years)
- 2021: Robert J. Horton Lecturer in Hydrology (American Meteorological Society)
- 2023: USDA ARS Distinguished Senior Research Scientist
- 2023: Fellow of the American Meteorological Society
Professional Service:
- Science team member for the NASA Soil Moisture Active Passive (SMAP) satellite mission
- Science team member for the NASA AirMOSS airborne mission
- Science team member for the NASA MODIS/VIIRS sensor
- Chief Editor for the American Meteorological Society's Journal of Hydrometeorology
Publication Databases:
Selected Publications: (contact Wade.Crow@ars.usda.gov for unposted reprints)
(view author's publications/interpretive summaries/technical abstracts since 1999)
Crow, W.T. and Wood, E.F. Multi-scale dynamics of soil moisture variability observed during SGP'97. Geophysical Research Letters. 26(23):3485-3488. 10.1029/1999GL10880. 1999.
Crow, W.T., Wood, E.F. and Dubayah, R. Potential for downscaling soil moisture maps derived from spaceborne imaging radar data. Journal of Geophysical Research. 105(D2):2203-2212. 10.1029/1999JD901010. 2000.
Crow, W.T., Drusch, M. and Wood, E.F. An observation system simulation experiment for the impact of land surface heterogeneity on AMSR-E soil moisture retrieval. IEEE Transactions on Geoscience and Remote Sensing. 39(8):1622-1632. 10.1109/36.942540. 2001.
Crow, W.T. and Wood, E.F. Impact of soil moisture aggregation on surface energy flux prediction during SGP97. Geophysical Research Letters. 29(1). 10.1029/2001GL013796. 2002.
Crow, W.T. and Wood, E.F. The value of coarse-scale soil moisture observations for regional surface energy balance modeling. Journal of Hydrometeorology. 3:467-482. 2002.
Crow, W.T. and Wood, E.F. The assimilation of remotely sensed soil brightness temperature imagery into a land-surface model using ensemble Kalman filtering: a case study based on ESTAR measurements during SGP97. Advances in Water Resources. 26:137-149. 10.1016/S0309-1708(02)00088-X. 2003.
Crow, W.T. Correcting land surface model predictions for the impact of temporally sparse rainfall rate measurements using an Ensemble Kalman filter and surface brightness temperature observations. Journal of Hydrometeorology. 4(5):960-973. 2003.
Crow, W.T., Wood, E.F. and Pan, M. Multiobjective calibration of land surface model evapotranspiration predictions using streamflow observations and spaceborne surface radiometric temperature retrievals. Journal of Geophysical Research-Atmospheres. 108(D23). 10.1029/2002JD003292. 2003.
Dery, S.T., Crow, W.T., Stieglitz, M. and Wood, E.F. Modeling snow-cover heterogeneity over complex Artic terrain for regional and global climate models. Journal of Hydrometeorology. 5(1):33-48. 2004.
Gao, H., Wood, E.F., Drusch, M., Crow, W.T. and Jackson, T.J. Using a microwave emission model to estimate soil moisture from ESTAR observations during SGP99. Journal of Hydrometeorology. 5(1):49-63. 2004.
Entekhabi, D., Njoku, E., Houser, P., Spencer, M., Doiron, T., Smith, J., Girard, R., Belair, S., Crow, W. and twelve others. The Hydrosphere State (HYDROS) satellite mission: An earth system pathfinder for global mapping of soil moisture and land freeze/thaw. IEEE Transactions on Geoscience and Remote Sensing. 42(10):2184-2195. 2004.
Crow, W.T., Ryu, D. and Famiglietti, J.S. Upscaling of field-scale soil moisture measurements using distributed land surface modeling. Advances in Water Resources. 28(1):1-5. 2005.
Crow, W.T. and Kustas, W.P. Utility of assimilating surface radiometric temperature observations for evaporative fraction and heat transfer coefficient retrieval. Boundary-Layer Meteorology. 115:105-130. 2005.
Crow, W.T., Chen, T., Entekhabi, D., Houser, P., Hsu, A., Jackson, T., Njoku, E., O'Neill, P., Shi, J. and Zhan, X. An observing system simulation experiment for Hydros radiometer-only soil moisture products. IEEE Transactions on Geoscience and Remote Sensing. 43(6):1289-1303. 2005.
Crow, W.T., Bindlish, R. and Jackson, T.J. The added value of spaceborne passive microwave soil moisture retrievals for forecasting rainfall-runoff partitioning. Geophysical Research Letters. 32. L18401. 10.1029/2005GL023543. 2005.
Crow, W.T., Li, F. and Kustas, W.P. Intercomparison of spatially explicit distributed models for predicting surface energy flux patterns during SMACEX. Journal of Hydrometeorology. 6(6):941-953. 2005.
Crow, W.T., Koster, R.D., Reichle, R.H. and Sharif, H. Relevance of time-varying and time-invariant retrieval error sources on the utility of spaceborne soil moisture products. Geophysical Research Letters. 32. L24405. 10.1029/2005GL024889. 2005.
Crow, W.T., Entekhabi, D., Koster, R.D. and Reichle, R.H. Multiple spaceborne water cycle observations would aid modeling. EOS. 87. 15. 11 April 2006.
Crow, W.T. and Van Loon, E. The impact of incorrect model error assumptions on the sequential assimilation of remotely sensed surface soil moisture. Journal of Hydrometeorology. 8(3):421-431. 2006.
Zhan, X., Houser, P.R., Walker, J.P. and Crow, W.T. A method of retrieving high resolution soil moisture from Hydros L-band radiometer and radar observations. IEEE Transactions on Geoscience and Remote Sensing. 44(6):1534-1545. 2006.
Crow, W.T. A novel method for quantifying value in spaceborne soil moisture retrievals. Journal of Hydrometeorology. 8(1):56-67. 2007.
Crow, W.T. and Bolten, J.D. Estimating precipitation errors using spaceborne surface soil moisture retrievals. Geophysical Research Letters. 34. L08403. 10.1029/2007GL029450. 2007.
Crow, W.T. and Zhan, X. Continental-scale evaluation of remotely-sensed soil moisture products. IEEE Geoscience and Remote Sensing Letters. 4(3):451-455. 2007.
Sharif, H.O., Crow, W.T., Miller, N. and Wood, E.F. Multi-decadal high-resolution modeling of the Arkansas/Red River Basin. Journal of Hydrometeorology. 8(5):1111-1127. 2007.
Reichle, R.H., Crow, W.T., Koster, R. D., Sharif, H. and Mahanama, S. Contribution of soil moisture retrievals to land data assimilation products. Geophysical Research Letters. 35. L01404. 10.1029/2007GL031986. 2008.
Crow, W.T., Kustas, W.P. and Prueger, J. Monitoring root-zone soil moisture through the assimilation of a thermal remote sensing-based soil moisture proxy into a water balance model. Remote Sensing of Environment. 112:1268-1281. 2008.
Reichle, R.H., Crow, W.T. and Keppenne, C.L. An adaptive ensemble Kalman filter for soil moisture data assimilation. Water Resources Research. 44. W03423. 10.1029/2007WR006357. 2008.
Zhan, X., Crow, W.T., Jackson, T.J. and O'Neill, P.E. Improving space-borne radiometer soil moisture retrievals with alternative aggregation rules for ancillary parameters in highly heterogeneous vegetated areas. Geoscience and Remote Sensing Letters. 5(2):261-265. 2008.
Crow, W.T. and Reichle, R.H. Comparison of adaptive filtering techniques for land surface data assimilation. Water Resources Research. 44. W08423. 10.1029/2008WR006883. 2008.
Kumar, S.V., Reichle, R.H., Peters-Lidard, C.D., Koster, R.D., Zhan, X., Crow, W.T., Eylander, J.B. and Houser, P.R. A land surface data assimilation framework using the Land Information System: Description and application. Advances in Water Resources. 31:1419-1432. 2008.
Reichle, R.H., Bosilovich, M.G., Crow, W.T., Koster, R.D., Kumar, S.V., Mahanama, S.P.P. and Zaitchik, B.F. Recent advances in land data assimilation at the NASA Global Modeling and Assimilation Office. Data Assimilation for Atmospheric, Oceanic, and Hydrologic Applications. S.K. Park (Ed.), Springer-Verlag. 407-428. 10.1007/978-3-540-71056-1. 2008.
Bolten, J., Crow, W.T., Zhan, X., Reynolds, C. and Jackson, T.J. Assimilation of a satellite-based soil moisture product in a two-layer water balance model for a global crop production decision support system. Data Assimilation for Atmospheric, Oceanic, and Hydrologic Applications. S.K. Park (Ed.), Springer-Verlag. 449-465. 10.1007/978-3-540-71056-1. 2008.
Crow, W.T. and Ryu, D. A new data assimilation approach for improving runoff prediction using remotely-sensed soil moisture retrievals. Hydrologic and Earth System Sciences. 13:1-16. 2009.
Bindlish, R., Crow, W.T. and Jackson, T.J. The role of passive microwave remote sensing in improving flood forecasts. IEEE Geoscience and Remote Sensing Letters. 6(1):112-116. 2009.
Crow, W.T., Huffman, G.F., Bindlish, R. and Jackson, T.J. Improving satellite-based rainfall accumulation estimates using spaceborne soil moisture retrievals. Journal of Hydrometeorology. 10(1):199-212. 2009.
Ryu, D., Crow, W.T., Zhan, X. and Jackson, T.J. Correcting unintended perturbation biases in hydrologic data assimilation using Ensemble Kalman filter. Journal of Hydrometeorology. 10(3):734-750. 10.1175/2008JHM1038.1. 2009.
Kumar, S.V., Reichle, R.H., Koster, R.D., Crow, W.T. and Peters-Lidard, C.D. Role of subsurface physics in the assimilation of surface soil moisture observations. Journal of Hydrometeorology. 10:1534-1547. 10.1175/2009JHM1134.1. 2009.
Li, F., Crow, W.T. and Kustas, W.P Towards the estimation of root-zone soil moisture via the simultaneous assimilation of thermal and microwave soil moisture retrievals. Advances in Water Resources. 33:201-214. 10.1016/j.advwatres.2009.11.007. 2010.
Bolten, J.D., Crow, W.T., Jackson, T.J., Zhan, X. and Reynolds, C.A. Evaluating the utility of remotely-sensed soil moisture retrievals for operational agricultural drought monitoring. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 3:57-66. 10.1109/JSTARS.2009.2037163. 2010.
Entekhabi, D., Njoku, E., O'Neill, P., Kellogg, K., Crow, W., Edelstein, W., Entin, J., Goodman, S., Jackson, T., Johnson, J., Kimball, J., Piepmeier, J., Koster, R., McDonald, K., Moghaddam, M., Moran, S., Reichle, R., Shi, J.C., Spencer, M., Thurman, S., Tsang, L. and Van Zyl, J. The Soil Moisture Active and Passive (SMAP) Mission. Proceedings of the IEEE. 98(5):704-716. 10.1109/JPROC.2010.2043918. 2010.
Crow, W.T., Miralles, D.G. and Cosh, M.H. A quasi-global evaluation system for satellite-based surface soil moisture retrievals. IEEE Transactions on Geoscience and Remote Sensing. 48(6):2516-2527. 10.1109/IGARSS.2008.4779051. June 2010.
Crow, W.T., Wagner, W. and Naeimi, V. The impact of radar incidence angle on soil moisture retrieval skill. IEEE Geoscience and Remote Sensing Letters. 7(3):501-505. 10.1109/LGRS.2010.2040134. 2010.
Entekhabi, D., Reichle, R.H., Koster, R.D. and Crow, W.T. Performance metrics for soil moisture retrievals and applications requirements. Journal of Hydrometeorology. 11(3):832-840. 10.1175/2010JHM1223.1. 2010.
Crow, W.T. and van den Berg, M.J. An improved approach for estimating observation and model error parameters for soil moisture data assimilation. Water Resources Research. 46. W12519. 10.1029/2010WR009402. 2010.
Miralles, D.G., Crow, W.T. and Cosh, M.H. Estimating spatial sampling errors in coarse-scale soil moisture estimates derived from point-scale observations. Journal of Hydrometeorology. 11(6):1404-1410. 10.1175/2010JHM1285.1. 2010.
Chen, F., Crow, W.T., Starks, P.J. and Moriasi, D.N. Improving hydrologic predictions of a catchment model via assimilation of surface soil moisture. Advances in Water Resources. 34(4):526-536. 2011.
Crow, W.T., van Den Berg, M.J., Huffman, G.F. and Pellarin, T. Correcting rainfall using satellite-based surface soil moisture retrievals: The soil moisture analysis rainfall tool (SMART). Water Resources Research. 47. W08521. 10.1029/2011WR010576. 2011.
Qing, L., Reichle, R., Bindlish, R., Cosh, M.H., Crow, W.T., de Jeu, R., de Lannoy, G., Huffman, G.J. and Jackson, T.J. The contributions of precipitation and soil moisture observations to the skill of soil moisture estimates in a land data assimilation system. Journal of Hydrometeorology. 12(5):750-765. 10.1175/JHM-D-10-05000.1. 2011.
Hain, C.R., Crow, W.T., Mecikalski, J.R., Anderson, M.C. and Holmes, T. An intercomparison of available soil moisture estimates from thermal-infrared and passive microwave remote sensing and land-surface modeling. Journal of Geophysical Research-Atmospheres. 116. D15107. 10.1029/2011JD015633. 2011.
Parinussa, R., Holmes, T. and Crow, W.T. The impact of land surface temperature on soil moisture anomaly detection from passive microwave observations. Hydrology and Earth Systems Sciences. 15:3135-3151. 10.5194/hess-15-3135-2011. 2011.
Crow, W.T., Berg, A.A., Cosh, M.H., Loew, A., Mohanty, B.P., Panciera, R., de Rosnay, P., Ryu, D. and Walker, J.P. Upscaling sparse ground-based soil moisture observations for the validation of coarse-resolution satellite soil moisture products. Reviews of Geophysics. 50, RG2002, 10.1029/2011RG000372. 2012.
Nearing, G.S., Crow, W.T., Thorp, K.R., Moran, M.S., Riechle, R.H. and Gupta, H.V. Assimilating remote sensing observations of leaf area index and soil moisture for wheat yield estimates: An observing system simulation experiment. Water Resources Research. 48. W05525. 10.1029/2011WR011420. 2012.
Crow, W.T. Estimating model and observation error covariance information for land data assimilation systems. In Land Surface Observation, Modeling and Data Assimilation. S. Liang (Ed.). Springer-Verlag. 2012.
Crow, W.T., Kumar, S.V. and Bolten, J.D. On the utility of land surface models for agricultural drought monitoring. Hydrologic and Earth System Sciences. 16:3451-3460. 10.5194/hess-16-3451-2012. 2012.
Bolten, J.D. and Crow, W.T. Improved prediction of quasi-global vegetation conditions using remotely-sensed surface soil moisture. Geophysical Research Letters. 39. L19406. 10.1029/2012GL053470. 2012.
Yilmaz, M.T., Crow, W.T., Anderson, M.C. and Hain, C. An objective methodology for merging satellite and model-based soil moisture products. Water Resources Research, 48. W11502. 10.1029/2011WR011682. 2012.
Hain, C.R., Crow, W.T., Anderson, M.C. and Mecikalski, J.R. An EnKF dual assimilation of thermal-infrared and microwave satellite observations of soil moisture into the Noah land surface model. Water Resources Research. 48. W11517. 10.1029/2011WR011268. 2012.
Yilmaz, M.T. and Crow, W.T. The optimality of potential rescaling approaches in land data assimilation. Journal of Hydrometeorology. 14:650-660. 10.1175/JHMD12052.1. 2013.
Chen, F., Crow, W.T. and Holmes, T. Improving long-term, retrospective precipitation datasets using satellite-based surface soil moisture retrievals and the Soil Moisture Analysis Rainfall Tool (SMART). Journal of Applied Remote Sensing. 6(1). 063604. 10.1117/1.JRS.6.063604. 2013.
Holmes, T., Crow, W.T., Yilmaz, M.T., Jackson, T.J. and Basara, J.B. Enhancing model-based land surface temperature estimates using multi-platform microwave observations. Journal of Geophysical Research-Atmospheres. 11:577-591. 10.1002/jgrd.50113. 2013.
Holmes, T., Crow, W.T. and Hain, C.R. Spatial patterns in timing of the diurnal temperature cycle. Hydrology and Earth Systems Science. 17:3695-3706. 10.5194/hess-17-3695-2013. 2013.
Nearing, G.S., Gupta, H.V., Crow, W.T. and Gong, W. An approach to quantifying the efficiency of a Bayesian filter, Water Resources Research. 49(4): 2164-2173. 10.1002/wrcr.20177. 2013.
Nearing, G.S., Gupta, H.V. and Crow, W.T. Information loss in approximately Bayesian estimation techniques: A comparison of generative and discriminative approaches to estimating agricultural productivity. Journal of Hydrology. 507:163-173. 2013.
Crow, W.T. and Yilmaz, M.T. The Auto-Tuned Land Assimilation System (ATLAS). Water Resources Research, 50(1):371-384. 10.1002/2013WR0145502014. 2014.
Bruscantini, C., Perna, P., Ferrazzoli, P., Grings, F., Karszenbaum, H. and Crow, W.T. Effect of forward/inverse model asymmetries over retrieved soil moisture assessed with an OSSE for the Aquarius/SAC-D. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 7(3):943-949. 10.1109/JSTARS.2013.2265076. 2014.
Bruscantini, C., Crow, W.T., Grings, F., Maas, M. and Karszenbaum, H. An Observing System Simulation Experiment (OSSE) for the Aquarius/SAC-D soil moisture product. IEEE Transactions on Geoscience and Remote Sensing. 52(10):6086-6094. 10.1109/TGARS.2013.2294915. 2014.
Han, E., Crow, W.T., Holmes, T. and Bolten, J.D. Benchmarking a soil moisture data assimilation system for agricultural drought monitoring. Journal of Hydrometeorology. 15:1117-1134. 10.1175/JHM-D-13-0125.1. 2014.
Yilmaz, M.T., Anderson, M.C., Zaitchik, B., Hain, C.R., Crow, W.T., Ozdogan, M., Chun, J.A. and Evans, J. Comparison of prognostic and diagnostic surface flux modeling approaches over the Nile River Basin. Water Resources Research. 50(1):386-408. 10.1002/2013WR014194. 2014.
Yilmaz, M.T. and Crow, W.T. Evaluation of assumptions in soil moisture triple collocation analysis. Journal of Hydrometeorology. 15:1293-1302. 10.1175/JHM-D-0158.1. 2014.
Su. C., Ryu, D., Crow, W.T. and Western, A.W. Beyond triple collocation: Applications to satellite soil moisture. Journal of Geophysical Research-Atmospheres. 119(11):6419-6439. 10.1002/2013JD021043. 2014.
Qiu, J., Crow, W.T., Nearing, G.S., Mo, X. and Liu, S. The impact of vertical measurement depth on the information content of soil moisture times series data. Geophysical Research Letters. 41(14):4997-5004. 10.1002/2014GL060017. 2014.
Qiu, J., Crow, W.T., Mo, X. and Liu, S. Impact of temporal autocorrelation mismatch on the assimilation of satellite-derived surface soil moisture retrievals. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 7(8):3534-3542. 10.1109/JSTARS.2014.2349354. 2014.
Chen, F., Crow, W.T. and Ryu, D. Dual forcing and state correction via soil moisture assimilation for improved rainfall-runoff modeling. Journal of Hydrometeorology. 15(5):1832-1848. 10.1175/JHM-D-14-0002.1. 2014.
Holmes, T.H., Crow, W.T. and de Jeu, R. Leveraging microwave polarization information for the calibration of a land data assimilation system. Geophysical Research Letters. 41(24):8878-8886. 10.1002/2014GL061991. 2014.
Su, C-.H., Ryu, D., Crow, W.T. and Western, A.W. Stand-alone error characterisation of microwave satellite soil moisture using a Fourier method. Remote Sensing of Environment. 154:115-126. 10.1016/j.rse.2014.08.014. 2014.
Alvarez-Garreton, C, Ryu, D., Western, A.W., Crow, W.T. and Robertson, D.E. The impacts of assimilating satellite soil moisture into a rainfall-runoff model in a semi-arid catchment. Journal of Hydrology. 519(D):2763-2774. 10.1016/j.jhydrol.2014.07.041. 2014.
Li, Y., Ryu, D., Western, A.W., Wang, Q.J., Roberson, D.E. and Crow, W.T. An integrated error parameter estimation and lag-aware data assimilation scheme for real-time flood forecasting, Journal of Hydrology. 519(D): 2722-2736. 10.1016/j.jhydrol.2014.08.009. 2015.
Holmes, T.H., Crow, W.T., Hain, C., Anderson, M.C. and Kustas, W.P. Diurnal temperature cycle as observed by thermal infrared and microwave radiometers. Remote Sensing of Environment. 158:110-125. 10.1016/j.rse.2014.10.031. 2015.
Hain, C.R., Crow, W.T., Anderson, M.C. and Yilmaz, M.T. Diagnosing neglected soil moisture source/sink processes via a thermal infrared-based two-source energy balance model. Journal of Hydrometeorology. 16:1070-1086. 10.1175/JHM-D-14-0017.1. 2015.
Han, E., Crow, W.T., Hain, C.R. and Anderson, M.C. On the use of a water balance to evaluate inter-annual terrestrial ET variability. Journal of Hydrometeorology. 16:1102-1108. 10.1175/JHM-D-14-0175.1. 2015.
Alvarez-Garreton, C., Ryu, D., Western, A.W., Su, C.-H., Crow, W.T., Robertson, D.E. and Leahy, C. Improving operational flood ensemble prediction by the assimilation of satellite soil moisture: Comparison between lumped and semi-distributed models. Hydrologic and Earth System Sciences. 19. 10.5194/hess-19-1659-20151659-1676. 2015.
Gruber, A. and Crow, W.T. The potential of 2D Kalman filtering for soil moisture data assimilation, Remote Sensing of Environment. 171:137-148. 10.1016/j.rse.2015.10.019. 2015.
Wardlow, B., M. Anderson, Tadesse, T., Hain, C., Crow, W.T. and Rodell, M. Remote Sensing of Drought: Emergence of a Satellite-Based Monitoring Toolkit for the United States. Remote Sensing Handbook. P. Thenkabail (Ed.). CRC Press. 2015.
Crow, W.T., F. Lei, Hain, C., Anderson, M.C., Scott, R.L., Billesbach, D. and Arkebauer, T. Robust estimates of soil moisture and latent heat flux coupling strength obtained from triple collocation. Geophysical Research Letters. 42:8415-8423. 10.1002/2015GL065929. 2015.
Lu, H., Crow, W.T., Zhu, Y. and Sun, J. The impact of assumed error variances on surface soil moisture and snow depth hydrologic data assimilation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 8(11):5116-5129. 10.1109/JSTARS.2015.2487740. 2015.
Lei, F., Crow, W.T., Shen, H., Parinussa, R.M. and Holmes, T.H. The impact of local acquisition time on the accuracy of microwave surface soil moisture retrievals over the contiguous United States. Remote Sensing. 7(10):13448-13465. 10.3390/rs71013448. 2015.
Hashemian, M., Ryu, D., Crow, W.T. and Kustas, W.P. Improving root-zone soil moisture estimations using dynamic root growth and crop phenology. Advances in Water Resources. 86(A):170-183. 10.1016/j.advwatres.2015.10.001. 2015.
Pan, M., Fisher, C.K., Chaney, N.W., Zhan W., Crow, W.T., Aires, F., Entekhabi, D. and Wood, E.F. Triple collocation: Beyond three estimates and separation of structural/non-structural errors. Remote Sensing of Environment. 171:299-310. 10.1016/j.rse.2015.10.028. 2015.
Gruber, A., Su, C.-H., Zwieback, S., Crow, W.T., Dorigo, W. and Wagner, W. Recent advances in (soil moisture) triple collocation analysis. Journal of Applied Earth Observation and Geoinformation. 45(B):200-211. 10.1016/j.jag.2015.09.002. 2016.
Gruber, A., Su, C.-H., Crow, W.T., Zwieback, S., Dorigo, W.A. and Wagner, W. Estimating error cross-correlations in soil moisture data sets using extended collocation analysis. Journal of Geophysical Research-Atmospheres, 121:1208-1219. 10.1002/2015JD024027. 2016.
Su, C.-H., Zhang, J., Gruber, A., Parinussa, R., Ryu, D., Crow, W.T. and Wagner, W. Error decomposition of nine passive and active microwave satellite soil moisture data sets over Australia. Remote Sensing of Environment. 182:128-140. 10.1016/j.rse.2016.05.008. 2016.
Coopersmith, E.J., Cosh, M.H., Bell, J.E. and Crow, W.T. Multi-profile analysis of soil moisture within the Climate Reference Network. Vadose Zone Journal. 15(1):10.2136/vzj2015.01.0016. 2016.
Crow, W.T., Su, C-.H., Ryu, D. and Yilmaz, M.T. Optimal averaging of soil moisture predictions from ensemble land surface model simulations. Water Resources Research. 182:126-140. 10.1002/2015WR016944. 2016.
Brocca, L., Pellarin, T., Crow, W.T., Ciabatta, L., Massari, C., Ryu, D., Su, C.-H., Rüdiger, C. and Kerr, Y. Rainfall estimation by inverting SMOS soil moisture estimates: A comparison of different methods over Australia. Journal of Geophysical Research – Atmospheres. 121:12,062–12,079. 10.1002/2016JD025382. 2016.
Tao, J., Wu, D., Gourley, J., Zhang, S.Q., Crow, W.T., Peters-Lidard, C. and Barros, A.P. Operational hydrological forecasting during the IPHEx-IOP campaign - Meet the challenge. Journal of Hydrology. 541(A):434–456. 10.1016/j.jhydrol.2016.02.019. 2016.
Lu, H., Crow, W.T., Zhu, Y., Ouyang, F. and Jianbin, S. Improving streamflow prediction using remotely-sensed soil moisture and snow depth. Remote Sensing. 8:503. 10.3390/rs8060503. 2016.
Chen, F., Crow, W.T., Colliander, A., Cosh, M.H., Jackson, T.J., Bindlish, R., Reichle, R.H., Chan, S.K., Bosch, D.D., Starks, P.J. and Goodrich, D.C. Application of triple collocation in ground-based validation of Soil Moisture Active/Passive (SMAP) level 2 data products. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 99:1-14. 10.1109/JSTARS.2016.2569998. 2016.
Alvarez-Garreton, C., Ryu, D., Western, A.W., Crow, W.T., Su, C.-H. and Robertson, D.E. Dual assimilation of satellite soil moisture to improve streamflow prediction in data-scarce catchments. Water Resources Research. 52:5357–5375. 10.1002/2015WR018429. 2016.
Holmes, T.H., Hain, C.R., Anderson, M.C. and Crow, W.T. Cloud tolerance of remote sensing technologies to measure land surface temperature. Hydrologic and Earth System Sciences. 20:3263-3275. 10.5194/hess-20-3263-2016. 2016.
Yilmaz, M.T., Crow, W.T. and Ryu, D. Impact of model relative accuracy in framework of rescaling observations in hydrological data assimilation studies. Journal of Hydrometeorology. 17:2245–2257. 10.1175/JHM-D-15-0206.1. 2016.
Qiu, J., Crow, W.T. and Nearing, G.S. The impact of vertical measurement depth on the information content of soil moisture for latent heat flux estimation. Journal of Hydrometeorology. 17:2419–2430. 10.1175/JHM-D-16-0044.1. 2016.
Koster, R.D., Brocca, L., Crow, W.T., Burgin, M.S. and De Lannoy, G.J.M. Precipitation estimation using L-band and C-band soil moisture retrievals. Water Resources Research. 52:7213–7225. 10.1002/2016WR019024. 2016.
Chan, S. et al. Assessment of the SMAP level 2 passive soil moisture product. IEEE Transactions on Geoscience and Remote Sensing. 54(8):4994-5007. 10.1109/TGRS.2016.2561938. 2016.
Mladenova, I.E., Bolten, J.D., Crow, W.T., Anderson, M.C., Hain, C.R., Johnson, D.M. and Mueller, R. Inter-comparison of soil moisture, evaporative stress and vegetation indices for estimating corn and soybean yields over the U.S. Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 10(4):1328-1343. 10.1109/JSTARS.2016.2639338. 2017.
Parinussa, R.M., de Jeu, R.A.M., van der Schalie, R., Crow, W.T., Lei, F. and Holmes, T.H. A quasi-global approach to improve day-time satellite surface soil moisture anomalies through the land surface temperature input. Climate. 4(4): 50. 10.3390/cli4040050. 2017.
Brocca, L., Crow, W.T., Ciabatta, L., Massari, C., de Rosnay, P., Enenkel, M., Hahn, S., Amarnath, G., Camici, S., Tarpanelli, A. and Wagner, W. A review of the applications of ASCAT soil moisture products. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 10(5):2285-2306. 10.1109/JSTARS.2017.2651140. 2017.
Crow, W.T., Han, E., Ryu, D., Hain, C.R. and Anderson, M.C. and Ryu, D. Estimating annual water storage variations in medium-scale (103 to 104 km2) basins using microwave-based soil moisture retrievals. Hydrologic and Earth System Sciences. 21:1849-1862. 10.5194/hess-21-1849-2017. 2017.
, , and L band microwave remote sensing and land data assimilation improve the representation of prestorm soil moisture conditions for hydrologic forecasting. Geophysical Research Letters. 44. 10.1002/2017GL073642. 2017.
Cai, X., Pan, M., Chaney, N., Colliander, A., Misra, S., Cosh, M.H., Crow, W.T., Jackson, T.J. and Wood, E. Validation of SMAP soil moisture for the SMAPVEX15 field campaign using a hyper-resolution model. Water Resources Research. 53(4):3013-3028. . 2017.
Colliander, A., Cosh, M.H., Misra, S., Jackson, T.J., Crow, W.T., Chan, S., Bindlish, R., Chae, C., Holifield Collins, C. and Yueh, S. Validation and scaling of soil moisture in a semi-arid environment: SMAP Validation Experiment 2015 (SMAPVEX15). Remote Sensing of Environment. 196:101-112. 10.1016/j.rse.2017.04.022. 2017.
Yang, Y., Anderson, M., Gao, F., Hain, C., Kustas, W., Meyers, T., Crow, W.T., Finocchiaro, R., Otkin, J., Sun, L. and Yang, Y. Impact of tile drainage on evapotranspiration in South Dakota, USA based on high spatiotemporal resolution evapotranspiration time series From a multisatellite data fusion system. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 10(6):2250-2264. 10.1109/JSTARS.2017.2680411. 2017.
Román-Cascón, C., Pellarin, T., Gibon, F., Brocca, L., Cosme, E., Crow, W.T., Fernández-Prieto, D., Kerr, Y.H. and Massari, C. Correcting satellite-based precipitation products through SMOS soil moisture data assimilation in two land-surface models of different complexity: API and SURFEX. Remote Sensing of Environment. 200:295-310. 10.1016/j.rse.2017.08.022. 2017.
Nearing, G.S., Yatheendradas, S., Crow, W.T., Bosch, D.D., Cosh, M.H., Goodrich, D.C., Seyfried, M.S. and Starks, P. Nonparametric triple collocation. Water Resources Research. 53:5516–5530. 10.1002/2017WR020359. 2017.
Tobin, K.J., Torres, R., Crow, W.T. and Bennet, M.B. Multi-decadal analysis of root-zone soil moisture applying the exponential filter across CONUS. Hydrology and Earth System Science. 21:4403-4417. 10.5194/hess-21-4403-2017. 2017.
Gruber, A. Dorigo, W., Crow, W.T. and Wagner, W. Triple collocation based merging of satellite soil moisture retrievals. IEEE Transactions on Geoscience and Remote Sensing. 55(12):6780-6792. 10.1109/TGRS.2017.2734070. 2017.
Reichle, R. et al. Assessment of the SMAP Level-4 Surface and Root-Zone Soil Moisture Product using in situ measurements. Journal of Hydrometeorology. 18(10):2621-2645. 10.1175/JHM-D-17-0063.1. 2017.
Reichle, R. et al. Global assessment of the SMAP Level-4 surface and root-zone soil moisture product using assimilation diagnostics. Journal of Hydrometeorology. 18(12):3217-3237. 10.1175/JHM-D-17-0130.1. 2017.
Massari, C., Crow, W.T. and Brocca, L. An assessment of the accuracy of global rainfall estimates without ground-based observations. Hydrologic and Earth System Sciences. 21:4347-4361. 10.5194/hess-21-4347-2017. 2017.
Sharifi, A., Yen, H., Wallace, C.W., McCarty, G., Crow, W.T., Momen, B,. Lang, M., Sadeghi, A., Lee., S., Denver, J. and Rabenhost, M.C. Effect of water quality sampling approaches on nitrate load predictions of a prominent regression-based model. Water. 9(11):895, 10.3390/w9110895. 2017.
Wei, G., Lu, H., Crow, W.T., Zhu, Y., Su, J. and Wang, J. Evaluation of IMERG V04A precipitation estimates for three typical watersheds in China. Remote Sensing. 10:30. 10.3390/rs10010030. 2017.
Dong, J., Crow, W.T. and Bindlish, R. The error structure of the SMAP single and dual channel soil moisture retrievals. Geophysical Research Letters. 45:758-765. 10.1002/2017GL075656. 2017.
Dong, J. and Crow, W.T. An improved triple collocation analysis algorithm for decomposing auto-correlated and white soil moisture retrieval errors. Journal of Geophysical Research - Atmospheres. 122:13,081-13,094. 10.1002/2017JD027397. 2017.
Chan, S. et al. Development and assessment of the SMAP enhanced passive soil moisture product. Remote Sensing of Environment. 204:931-941. 10.1016/j.rse.2017.08.025. 2018.
Holmes, T.H., Hain, C., Crow, W.T., Anderson, M. and Kustas, W. Microwave implementation of two-source energy balance approach for estimating evapotranspiration. Hydrologic and Earth System Sciences. 22:1351-1369. 10.5194/hess-22-1351-2018. 2018.
Lei, F., Crow, W.T., Shen, H., Su, C.-H., Holmes, T., Parinussa, R. and Wang, G. Assessment of the impact of spatial heterogeneity on microwave satellite soil moisture periodic error. Remote Sensing of Environment. 205:85-99. 10.106/j.rse.2017.11.002. 2018.
Das, N. et al. The SMAP mission combined active-passive soil moisture product at 9 km and 3 km spatial resolutions. Remote Sensing of Environment. 211:204-217. 10.106/j.rse.2018.04.11. 2018.
Gruber, A., Crow, W.T. and Dorigo, W. Assimilation of spatially sparse in situ soil moisture networks into a continuous model domain. Water Resources Research. 54:1353-1367. 10.1002/2017WR021277. 2018.
Crow, W.T., Chen, F., Reichle, R. Xia, Y. and Liu, Q. Exploiting soil moisture, precipitation and streamflow observations to evaluate soil moisture/runoff coupling in land surface models. Geophysical Research Letters. 45(10):4869-4878. 10.1029/2018GL077193. 2018.
Chen, F., Crow, W.T., Bindlish, R., Colliander, A., Burgin, M.S., Asanuma, J. and Aida, K. Global-scale evaluation of SMAP, SMOS and ASCAT soil moisture products using triple collocation. Remote Sensing of Environment. 214:1-13. 10.1016/j.rse.2018.05.008. 2018.
Koster, K.D., Crow, W.T., Reichle, R.H. and Mahanama, S.P. Estimating basin‐scale water budgets with SMAP soil moisture data. Water Resources Research. 54:4228-4244. 10.1029/2018WR022669. 2018.
Nearing, G., Yatheendradas, S., Crow, W.T., Chen, F. and Zhan, X. The efficiency of data assimilation. Water Resources Research. 54:6374–6392. 10.1029/2017WR020991. 2018.
Dong, J. and Crow, W.T. The added value of assimilating remotely sensed soil moisture for estimating summertime soil moisture - air temperature coupling strength. Water Resources Research. 54:6072-6084. 10.1029/2018WR022619. 2018.
Crow, W.T., Milak, S., Moghaddam, M., Tabatabaeenejad, A., Jaruwatanadilok, S., Yu, X., Shi, Y., Reichle, R.H., Hagimoto, Y. and Cuenca, R.H. Spatial and temporal variability of root-zone soil moisture acquired from hydrologic modeling and AirMOSS P-band radar. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 11(12):4578-4590. 0.1109/JSTARS.2018.2865251. 2018.
Lei, F., Crow, W.T., Holmes, T., Hain, C. and Anderson, M. Global investigation of soil moisture and latent heat flux coupling strength. Water Resources Research. 54:8196-8215. 10.1029/2018WR023469. 2018.
Wei, G., Lu, H., Crow, W.T., Zhu, Y., Wang, J. and Su, J. Comprehensive Evaluation of GPM-IMERG, CMORPH and TMPA Precipitation Products with gauged rainfall over Mainland China. Advances in Meteorology. 3024190. 10.1155/2018/3024190. 2018.
Dong, J. and Crow, W.T. Use of satellite soil moisture to diagnose climate model representations of European soil moisture - air temperature coupling strength. Geophysical Research Letters. 45:12884–12891. 10.1029/2018GL080547 2018.
Dong, J. and Crow, W.T. L-band remote-sensing increases sampled levels of global soil moisture - air temperature coupling strength. Remote Sensing of Environment. 220:51-58. 10.1016/j.rse.2018.10.024. 2019.
Mao, Y., Crow, W.T., and Nijssen, B. A framework for diagnosing factors degrading the streamflow performance of a soil moisture data assimilation system. Journal of Hydrometeorology. 20:79–97. 10.1175/JHM-D-18-0115.1. 2019.
Al-Yaari, A., Ducharne, A, Cheruy, F., Crow, W.T., and Wigneron, J.-P. Satellite-based soil moisture provides missing link between summertime precipitation and surface temperature biases in CMIP5 simulations over conterminous United States. Scientific Reports. 9:1657. 10.1038/s41598-018-38309. 2019.
Dong, J., Crow, W.T., Duan, Z., Wei, L., and Lu, Y. A double instrumental variable method for geophysical product error estimation. Remote Sensing of Environment. 225:217-228. 10.1016/j.rse.2019.03.003. 2019.
Qiu, J., Crow, W.T., Wagner, W. and Zhao, T. Effect of vegetation index choice on soil moisture retrievals via the synergistic use of synthetic aperture radar and optical remote sensing. International Journal of Applied Earth Observation and Geoinformation. 80:47-57. 10.1016/j.jag.2019.03.015. 2019.
Colliander, A. et al. Comparison of high-resolution airborne soil moisture retrievals to SMAP soil moisture during the SMAP validation experiment 2016 (SMAPVEX2016). Remote Sensing of Environment. 227:137-150. 10.1016/j.rse.2019.04.004. 2019.
Gruber, A., De Lannoy, G. and Crow, W.T. A Monte Carlo based adaptive kalman filtering framework for soil moisture data assimilation. Remote Sensing of Environment. 228: 105-114. 10.1016/j.rse.2019.04.003. 2019.
Dong, J., Crow, W.T., Reichle, R., Liu, Q., Lei, F. and Cosh, M. A global assessment of added value in the SMAP Level 4 soil moisture product relative to its baseline land surface model. Geophysical Research Letters. 46:6604-6613. 10.1029/2019GL083398. 2019.
Mladenova, I.E., Bolten, J.D., Crow, W.T., Sazib, N., Cosh, M.H, Tucker, C.J. and Reynolds, C. Evaluating the operational application of SMAP for global agricultural drought monitoring. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 1-11. 10.1109/jstars.2019.2923555. 2019.
Chen, F., Crow, W.T., Cosh, M.H., Colliander, A., Asanuma, J., Berg, A., Bosch, D.D., Caldwell, T.G., Collins, C.H., Jensen, K.H., Martínez-Fernández, J., McNairn, H., Starks, P.J., Su, Z. and Walker, J.P. Uncertainty of reference pixel soil moisture averages sampled at SMAP core validation sites. Journal of Hydrometeorology. 20:1553-1569. 10.1175/JHM-D-19-0049.1. 2019.
Crow, W.T., Chen, F., Reichle, R.H. and Xia, Y. Diagnosing bias in modeled soil moisture/runoff coefficient correlation using the SMAP Level 4 soil moisture product. Water Resources Research. 55:7010-7026. 10.1029/2019WR025245. 2019.
Tobin, K., Crow, W.T., Dong, J. and Bennett, M.E. Validation of a new root-zone soil moisture product: Soil Merge (SMERGE). IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 12(9):3351-3365. 10.1109/JSTARS.2019.2930946. 2019.
Zhang, K., Ali, A., Antonarakis, A., Moghaddam, M., Saatchi, S., Tabatabaeenejad, A., Chen, R., Jaruwatanadilok, S., Cuenca, R., Crow, W.T. and Moorcroft, P. The sensitivity of North American terrestrial carbon fluxes to spatial and temporal variation in soil moisture: An analysis using radar-derived estimates of root zone soil moisture. Journal of Geophysical Research-Biosciences. 124:3208-3231. 10.1029/2018JG004589. 2019.
Reichle, R.H. et al. Version 4 of the SMAP Level-4 soil moisture algorithm and data product. Journal of Advances in Modeling Earth Systems. 11:3106-3130. 10.1029/2019MS001729. 2019.
Colliander, A., Yang, Z., Mueller, R., Sandborn, A., Reichle, R., Crow, W.T., Entekhabi, D. and Yueh. S. Consistency between NASS surveyed soil moisture conditions and SMAP soil moisture observations. Water Resources Research. 55:7682–7693. 10.1029/2018WR024475. 2019.
Afshar, M.H., Yilmaz, M. T. and Crow, W.T. Impact of rescaling approaches in simple fusion of soil moisture products. Water Resources Research, 55:7804-7825. 10.1029/2019WR025111. 2019.
Mao, Y., Crow, W.T. and Nijssen, B. Dual state/rainfall correction via soil moisture assimilation for improved streamflow simulation: Evaluation of a large-scale implementation with SMAP satellite data. Hydrology and Earth System Science. 24:615-631. 10.5194/hess-24-615-2020. 2020.
Lei, F., Crow, W.T., Kustas, W.P., Dong, J., Yang, Y., Knipper, K.R., Anderson, M.C., Gao, F., Notarnicola, C., Greifeneder, F., McKee, L.M., Alfieri, J.G., Hain, C. and Dokoozlian, N. Data assimilation of high-resolution thermal and radar remote sensing retrievals for soil moisture monitoring in a drip-irrigated vineyard. Remote Sensing of Environment. 239. 111622. 10.1016/j.rse.2019.111622. 2020.
Qiu, J., Crow, W.T., Dong, J., and Nearing, G. S. Model representation of the coupling between evapotranspiration and soil water content at different depths. Hydrology and Earth System Science. 24:581–594. 10.5194/hess-24-581-2020. 2020.
Sadeghi, M., Gao, L., Ebtehaj, A., Wigneron, J.-P., Crow, W.T., Reager, J.T., and Warrick, A.W. Retrieving global surface soil moisture from GRACE satellite gravity data. Journal of Hydrology. 584. 124717. 10.1016/j.jhydrol.2020.124717. 2020.
Mao, Y., Crow W.T. and Nijssen, B. A unified data-driven method to derive hydrological dynamics from global SMAP surface soil moisture and GPM precipitation data. Water Resources Research. 56. E2019WR024949. 1029/2019WR024949. 2020.
Sadeghi, M., Ebtehaj, A., Crow, W.T., Gao, L., Purdy, A.J., Fisher, J.B., Jones, S.B., Babaeian, E. and Tuller, M. Global estimates of land surface water fluxes from SMOS and SMAP satellite soil moisture data. Journal of Hydrometeorology. 21:241–253. 10.1175/JHM-D-19-0150.1. 2020.
Mladenova, I., Bolten, J., Crow, W.T., Sazib, N. and Reynolds, C. Agricultural drought monitoring via the assimilation of SMAP soil moisture retrievals into a global soil water balance model. Frontiers in Big Data. 3. 10.3389/fdata.2020.00010. 2020.
Dong, J., Crow, W.T., Tobin, K.J., Cosh, M.H., Bosch, D.D., Starks, P.J., Seyfried, M. and Holifield-Collins, C. Comparison of microwave remote sensing and land surface modeling for surface soil moisture climatology estimation. Remote Sensing of Environment. 242. 111756. 10.1016/j.rse.2020.111756. 2020.
Su, J., Lu, H., Crow, W.T., Zhu, Y. and Cai, Y. The effect of spatiotemporal resolution degradation on the accuracy of IMERGE products over the Huai River Basin. Journal of Hydrometeorology. 21(5):1073–1088. 10.1175/JHM-D-19-0158.1. 2020.
Gruber, A. et al., Validation practices for satellite soil moisture retrievals: What are (the) errors? Remote Sensing of Environment. 244. 111806. 10.1016/j.rse.2020.111806. 2020.
Tobin, K., Torres, R., Bennett, M.E., Dong, J., and Crow, W.T. Long-term trends in root-zone soil moisture across CONUS connected to ENSO. Remote Sensing. 12. 2037. 10.3390/rs12122037. 2020.
Dong, J., Crow, W.T., and Reichle, R.H. Improving rain/no-rain detection skill by merging precipitation estimates from different sources. Journal of Hydrometeorology. 21. 2419–2429.10.1175/JHM-D-20-0097.1. 2020.
Crow, W.T., Arroyo-Gomez, C., Muñoz-Sabater J., Holmes, T., Hain, C.R., Lei, F., Dong, J., Alfieri, J., and Anderson, M.C. Soil moisture/evapotranspiration over-coupling and L-band brightness temperature assimilation: sources and forecast implications. Journal of Hydrometeorology. 21. 2359–2374. 10.1175/JHM-D-20-0088.1. 2020.
Zhou, J., Wu, Z., Crow, W.T., Dong, J. and He, H. Improving spatial patterns prior to land surface data assimilation via model calibration using SMAP surface soil moisture data. Water Resources Research. 56. e2020WR027770. 10.1029/2020WR027770. 2020.
Dong, J., Dirmeyer, P. A., Lei, F., Anderson, M.C., Holmes, T.R.H., Hain, C. and Crow, W.T. Soil evaporation stress determines soil moisture‐evapotranspiration coupling strength in land surface modeling. Geophysical Research Letter. 47, 1029/2020GL090391. 2020.
Peng, et al. A roadmap for high-resolution soil moisture applications – confronting product characteristics with user requirement. Remote Sensing of Environment. 252. 112162. 1016/j.rse.2020.112162. 2021.
Chai, L., Jiang, H., Crow, W.T., Liu, S., Zhao, S., Liu, S. and Yang, S. Estimating corn canopy water content from normalized difference water index (NDWI): An optimized NDWI-based scheme and its feasibility for retrieving corn VWC. IEEE Transactions on Geoscience and Remote Sensing. 59(10). 8168-8181. 10.1109/TGRS.2020.3041039. 2021.
Chen, F., Crow, W.T., Ciabatta, L., Filippuci, P., Panegrossi, G., Cinzia-Marra, A., Puca, S. and Massari, C. Enhanced large-scale validation of satellite-based land rainfall products. Journal of Hydrometeorology. 22(2). 245-257. 1175/JHM-D-20-0056.1. 2021.
Reichle, R. H., Liu, Q., Ardizzone, J.V., Crow, W.T., De Lannoy, G.J.M., Dong, J., Kimball, J.S. and Koster, R.D. The contributions of gauge-based precipitation and SMAP brightness temperature observations to the skill of the SMAP Level-4 Soil Moisture Product. Journal of Hydrometeorology. 22(2). 405-424. 1175/JHM-D-20-0217.1. 2021.
Qiu, J., Dong, J., Crow, W.T., Zhang, X., Reichle, R. and De Lannoy, G. The added value of brightness temperature assimilation for the SMAP Level-4 surface and root-zone soil moisture analysis over mainland China. Hydrology and Earth System Sciences. 25. 1569-1586. 10.5194/hess-25-1569-2021. 2021.
Zhou, J., Crow, W.T., Wu, Z., Dong, J., He, H. and Feng, H. A triple collocation-based 2D soil moisture merging methodology considering spatial and temporal non-stationary errors. Remote Sensing of Environment. 263. 112509. 1016/j.rse.2021.112509. 2021.
Wang, X., Lu, H., Crow, W.T., Zhu, Y. and Su, J. Assessment of SMOS and SMAP soil moisture products against new estimates combining physical model, a statistical model, and in-situ observations: A case study over the Huai River Basin, China. Journal of Hydrology. 598. 126468. 10.1016/j.jhydrol.2021.126468. 2021.
De Santis, D., Biondi, D., Crow, W., Camici, S., Modanesi, S., Brocca, L. and Massari, C. Assimilation of satellite soil moisture products for river flow prediction: An extensive experiment in over 700 catchments throughout Europe. Water Resources Research. 57. e2021WR029643. 10.1029/2021WR029643. 2021.
Tobin, K.J., Crow, W.T. and Bennett, M.E. Root zone soil moisture comparisons: AirMOSS, SMERGE, and SMAP. IEEE Geoscience and Remote Sensing Letters. 19. 1-5. 10.1109/LGRS.2021.3085432. 2021.
Crow, W.T., Dong, J. and Reichle, R.H. Expanding the application of soil moisture monitoring systems through regression-based transformation. Journal of Hydrometeorology. 22(10). 2601-2615. 10.1175/JHM-D-21-0061.1. 2021.
Zheng, J., Lü, H., Crow, W.T., Zhao, T., Merlin, O., Rodriguez-Fernandez, N., Shi, J., Zhu, Y., Su, J., Kang, C.S., Wang, A. and Gou, Q. Soil moisture downscaling using multiple modes of the DISPATCH algorithm in a semi-humid/humid region. International Journal of Applied Earth Observation and Geoinformation. 104. 102530. 10.1016/j.jag.2021.102530. 2021.
Colliander, A., et al. Validation of soil moisture data products from the NASA SMAP mission. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15. 364-392. 1109/JSTARS.2021.3124743. 2021.
Wu, Z., Qiu, J., Crow, W.T., Wang, D., Wang, Z. and Zhang, X. Investigating the efficacy of the SMAP downscaled soil moisture product for drought monitoring based on information theory. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15. 1604-1616. 10.1109/JSTARS.2021.3136565. 2021.
Dong, J., Lei, F. and Crow, W.T. Land transpiration-evaporation partitioning errors responsible for modeled summertime warm bias in the central United States. Nature Communications. 13. 10.1038/s41467-021-27938-6. 2022.
Lei, F., Senyurek, V., Kurum, M., Cafer-Gurbuz, A., Boyd, D., Moorhead, R., Crow, W.T. and Eroglu, O. Quasi-global machine learning-based soil moisture estimates at high spatio-temporal scales using CYGNSS and SMAP observations. Remote Sensing of Environment. 276. 113041. 10.1016/j.rse.2022.113041. 2022.
Wei, G., Lü, H., Crow, W.T., Zhu, Y., Su, J. and Ren, L. Comprehensive evaluation and error-component analysis of four satellite-based precipitation estimates against gauged rainfall over mainland China. Advances in Meteorology. 9070970. 10.1155/2022/9070970. 2022.
Chen, F. et al. Application of the vineyard data assimilation (VIDA) system to vineyard root-zone soil moisture monitoring in the California Central Valley. Irrigation Science. 10.1007/s00271-022-00789-9. 2022.
Dong, J., Akbar, R., Short-Gianotti, D.J., Feldman, A.F., Crow, W.T. and Entekhabi, D. Can surface soil moisture information identify evapotranspiration regime transitions? Geophysical Research Letters. 49. e2021GL097697. 10.1029/2021GL097697. 2022.
Hu, Z., Chai, L., Crow, W.T., Liu, S., Zhu, Z., Zhou, J., Qu, Y., Liu, J., Yang, S. and Lu, Z. Applying a Wavelet Transform Technique to Optimize General Fitting Models for SM Analysis: A Case Study in Downscaling over the Qinghai–Tibet Plateau. Remote Sensing.14. 3063. 10.3390/rs14133063. 2022.
Zhang, C., Yang, Z., Zhao, H., Sun, Z., Di, L., Bindlish, R., Liu, P.-W., Colliander, A., Mueller, R., Crow, W.T., Reichle, R.H., Bolten, J. and Yueh, S.H. Crop-CASMA: A web geoprocessing and map service-based architecture and implementation for serving soil moisture and crop vegetation condition data over U.S. Cropland, International Journal of Applied Earth Observation and Geoinformation. 112. 102902. 10.1016/j.jag.2022.102902. 2022.
Zhou, J., Crow, W.T., Wu, Z., Dong, J., He, H. and Feng, H. Improving soil moisture assimilation efficiency via model calibration using SMAP surface soil moisture climatology information. Remote Sensing of Environment. 280. 113161. 10.1016/j.rse.2022.113161. 2022.
Vergopolan, N., Sheffield, J., Chaney, N. W., Pan, M., Beck, H. E., Ferguson, C. R., Torres-Rojas, L., Eigenbrod, F., Crow, W.T. and Wood, E.F. High-resolution soil moisture data reveal complex multi-scale spatial variability across the United States. Geophysical Research Letters. 49. e2022GL098586. 1029/2022GL098586. 2022.
Qiu, J., Crow, W.T., Wang, S., Dong, J., Li, Y., Garcia. M. and Shangguan, W. Microwave-based soil moisture improves estimates of vegetation response to drought in China. Science of the Total Environment. 849. 10.1016/j.scitotenv.2022.157535. 2022.
Crow, W.T., Dong, J. and Reichle, R.H. Leveraging pre-storm soil moisture estimates for enhanced land surface model calibration in ungauged hydrologic basins. Water Resources Research. 58. e2021WR031565. 10.1029/2021WR031565. 2022.
De Lannoy, G.J.M., Bechtold, M., Albergel, C., Brocca, L., Calvet, J.-C., Carrassi, A., Crow, W.T., de Rosnay, P., Durand, M., Forman, B., Geppert, G., Girotto, M., Hendricks-Franssen, H.-J., Jonas, T., Kumar, S., Lievens, H., Lu, Y., Massari, C., Pauwels, V.R.N., Reichle, R.H. and Steele-Dunne, S. Perspective on satellite-based land data assimilation to estimate water cycle components in an era of advanced data availability and model sophistication. Frontiers in Water. 4:981745. 10.3389/frwa.2022.981745. 2022.
Gordon, B.L., Crow, W.T., Konings, A.G., Dralle, D.N. and Harpold, A.A. Can we use the water budget to infer upland catchment behavior? The role of dataset error estimation and interbasin groundwater flow. Water Resources Research. . 58, e2021WR030966. 10.1029/2021WR030966. 2022.
Li. H., Chai, L., Crow, W.T., Dong, J., Liu, S. and Zhao, S. The reliability of categorical triple collocation for evaluating soil freeze/thaw datasets. Remote Sensing of Environment. 281. 10.1016/j.rse.2022.113240. 2022.
Crow, W.T., Chen, F. and Colliander, A. Benchmarking downscaled satellite-based soil moisture products using sparse, point-scale ground observations. Remote Sensing of Environment. 283. 10.1016/j.rse.2022.113300. 2022.
Dong, J., Crow, W.T., Chen, X., Tangdamrongsub, N., Gao, M., Sun, S., Qiu, J., Wei, L., Gao, H. and Duan, Z. Statistical uncertainty analysis-based precipitation merging (SUPER): A new framework for improved global precipitation estimation. Remote Sensing of Environment. 283. 10.1016/j.rse.2022.113299. 2022.
Kumar, S., et al. An agenda for land data assimilation priorities: Realizing the promise of terrestrial water, energy, and vegetation observations from space. Journal of Advances in Modeling Earth Systems. 14. e2022MS003259. https://doi.org/10.1029/2022MS003259. 2022.
Wang, X., Lü, H., Crow, W.T., Corzo, G., Zhu, Y., Su, J., Zheng, J. and Gou Q. A reduced latency regional gap-filling method for SMAP using random forest regression. iScience. 26(1):105853. 10.1016/j.isci.2022.105853. 2022.
Feng, S., Qiu, J., Crow, W.T., Mo, X., Liu, S., Wang, S., Gao, L., Wang, X. and Chen, S., Improved estimation of vegetation water content and its impact on L-band soil moisture retrieval over cropland. Journal of Hydrology. 617. 10.1016/j.jhydrol.2022.12901. 2023.
Feldman, A.F. et al., Remotely sensed soil moisture can capture dynamics relevant to plant water uptake. Water Resources Research. 59. e2022WR033814. 10.1029/2022WR033814. 2023.
Zhou, J., Yang, K., Crow, W.T., Dong, J., Zhao, L., Feng, H., Zou, M., Lu, H., Tang, R. and Jiang, Y. Potential of remote sensing surface temperature- and evapotranspiration-based land-atmosphere coupling metrics for land surface model calibration. Remote Sensing of Environment. 291. 10.1016/j.rse.2023.113557. 2023.
Koster, R.D., Liu, Q., Crow, W.T. and Reichle, R.H., Late-fall SMAP soil moisture retrievals show clear connections to subsequent spring streamflow. Nature Communications. 14:3545. 10.1038/s41467-023-39318-3. 2023.
Dangol, S., Zhang, X., Liang, X.-Z., Anderson, M., Crow, W.T., Lee, S., Moglen, G.E. and McCarty, G.W. Multivariate calibration of the SWAT model using remotely sensed datasets. Remote Sensing. 15(9):2417. 10.3390/rs15092417. 2023.
Massari, C., Tramblay, Y., Crow, W.T., Gruendemann, G.J., Camici, S., Brocca, L., Modanesi, S. and Marra, F. On the relation between antecedent basin conditions and runoff coefficient for European floods. Journal of Hydrology. 625(B). 2023.
Kim, H., Crow, W.T., Wagner, W., Li, X. and Lakshmi, V. A Bayesian machine learning method to explain the error characteristics of global-scale soil moisture products. Remote Sensing of Environment. 296. 10.1016/j.rse.2023.113718. 2023.
Reichle, R. H., Liu, Q., Ardizzone, J.V., Crow, W.T., De Lannoy, G.J.M., Kimball, J.S. and Koster, R.D. IMERG precipitation improves the SMAP level-4 soil moisture product. Journal of Hydrometeorology. 10.1175/JHM-D-23-0063.1. 24, 1699–1723. 2023.
Boyd A.P., Luo Y., Kustas, W.P., Fukagawa, N.K., Mattoo, A.K., Crow, W.T., Pachepsky, Y., Kim, M.S., Lillehoj, H.S., Van Tassell, C.P., Zhang, H., Blomberg, L.A., Dubey, J.P., Lunney J.K. Cross-cutting concepts to transform agricultural research. Frontiers in Sustainable Food Systems. 7. 10.3389/fsufs.2023.1242665. 2023.
Kim, H., Crow, W.T., Li, X., Wagner, W., Hahn, S. and Lakshmi, V., True global error maps for SMAP, SMOS, and ASCAT soil moisture data based on machine learning and triple collocation analysis. Remote Sensing of Environment. 298. 10.1016/j.rse.2023.113776. 2023.
Crow, W.T., Kim, H. and Kumar, S., Systematic modeling errors undermine the application of land data assimilation systems for hydrological and weather forecasting. J. Hydrometeor. 25, 3–26. 10.1175/JHM-D-23-0069.1. 2023
Dong, J., Chen, X., Li, Y., Gao, M., Wei, L., Tangdamrongsu, N. and Crow, W.T., Inter-basin water transfer effectively compensates for regional unsustainable water use. Water Resources Research. 59, e2023WR035129. https://doi.org/10.1029/2023WR035129. 2023
Kim, H. and Crow, W.T., Interpreting effective hydrologic depth estimates derived from soil moisture remote sensing: A Bayesian non-linear modeling approach. Science of The Total Environment. 908, 10.1016/j.scitotenv.2023.168067. 2024
Crow, W.T., Koster, R.D., Reichle, R.H., Chen, F. and Liu, Q., Neglect of potential seasonal streamflow forecasting skill in the United States National Water Model. Geophysical Research Letters. 51, 10.1029/2023GL105649. 2024
Koster, R. D., Feldman, A.F., Holmes, T. R. H., Anderson, M.C., Crow, W.T. and Hain, C. Estimating hydrological regimes from observational soil moisture, evapotranspiration, and air temperature data. J. Hydrometeor., 25, 495–513. 10.1175/JHM-D-23-0140.1. 2024
Tian, X., Dong, J., Chen, X., Zhou, J., Gao, M., Wei, L., Kang, X., Zhao, D., Zhang, H., Crow, W.T., Huang, R., Shao, Q. and Zhou, H. County-level evaluation of large-scale gridded data sets of irrigated area over China. Journal of Geophysical Research: Atmospheres, 129. 10.1029/2023JD040333. 2024
Feldman, A.F., Koster, R.D., Cawse-Nicholson, K., Crow, W.T., Holmes, T.R.H., and Poulter, B. Soil moisture profiles of ecosystem water use revealed with ECOSTRESS. Geophysical Research Letters, 51, e2024GL108326. 10.1029/2024GL108326. 2024
Lee, S., Kim, D., McCarty, G.W., Anderson, M., Gao, F., Lei, F., Moglen, G.E., Zhang, X., Yen, H., Qi, J., Crow, W.T., Yeo, I.-Y. and Sun, L. Spatial calibration and uncertainty reduction of the SWAT model using multiple remotely sensed data. Heliyon. e30923. 10.1016/j.heliyon.2024.e30923. 2024
Crow, W.T. and Feldman, A.F. Vegetation signal crosstalk present in official SMAP surface soil moisture retrievals. Remote Sensing of Environment. 316. 10.1016/j.rse.2024.114466. 2024.
