68 citations as recorded by crossref.

1. A land data assimilation system for sub-Saharan Africa food and water security applications A. McNally et al. https://doi.org/10.1038/sdata.2017.12
2. Drought monitoring with soil moisture active passive (SMAP) measurements A. Mishra et al. https://doi.org/10.1016/j.jhydrol.2017.07.033
3. Optimal averaging of soil moisture predictions from ensemble land surface model simulations W. Crow et al. https://doi.org/10.1002/2015WR016944
4. Spatial-temporal dynamics of agricultural drought in the Loess Plateau under a changing environment: Characteristics and potential influencing factors Z. Han et al. https://doi.org/10.1016/j.agwat.2020.106540
5. Precipitation and vegetation transpiration variations dominate the dynamics of agricultural drought characteristics in China W. Guo et al. https://doi.org/10.1016/j.scitotenv.2023.165480
6. A combined index to characterize agricultural drought in Italy at municipality scale L. Rossi et al. https://doi.org/10.1016/j.ejrh.2023.101404
7. Merging and Downscaling Soil Moisture Data From CMIP6 Projections Using Deep Learning Method D. Feng et al. https://doi.org/10.3389/fenvs.2022.847475
8. Assimilation of Spatially Sparse In Situ Soil Moisture Networks into a Continuous Model Domain A. Gruber et al. https://doi.org/10.1002/2017WR021277
9. Ambiguous Agricultural Drought: Characterising Soil Moisture and Vegetation Droughts in Europe from Earth Observation T. van Hateren et al. https://doi.org/10.3390/rs13101990
10. Field-Scale Spatial Variability of Soil Moisture and L-Band Brightness Temperature from Land Surface Modeling C. Garnaud et al. https://doi.org/10.1175/JHM-D-16-0131.1
11. A seasonal agricultural drought forecast system for food-insecure regions of East Africa S. Shukla et al. https://doi.org/10.5194/hess-18-3907-2014
12. Propagation process‐based agricultural drought typology and its copula‐based risk L. Li et al. https://doi.org/10.1002/ird.2966
13. Assimilation of Remotely Sensed Leaf Area Index into the Noah-MP Land Surface Model: Impacts on Water and Carbon Fluxes and States over the Continental United States S. Kumar et al. https://doi.org/10.1175/JHM-D-18-0237.1
14. Regional climate model simulation of soil moisture and its application in drought reconstruction across China from 1911 to 2010 A. Wang & X. Kong https://doi.org/10.1002/joc.6748
15. The changing characteristics of propagation time from meteorological drought to hydrological drought in the Yangtze River basin, China X. Zhang et al. https://doi.org/10.1016/j.atmosres.2023.106774
16. A multifractal cross-correlation investigation into sensitivity and dependence of meteorological and hydrological droughts on precipitation and temperature F. Rahmani & M. Fattahi https://doi.org/10.1007/s11069-021-04916-1
17. Agricultural Drought Monitoring via the Assimilation of SMAP Soil Moisture Retrievals Into a Global Soil Water Balance Model I. Mladenova et al. https://doi.org/10.3389/fdata.2020.00010
18. A Review of the Applications of ASCAT Soil Moisture Products L. Brocca et al. https://doi.org/10.1109/JSTARS.2017.2651140
19. Assimilation of Blended Satellite Soil Moisture Data Products to Further Improve Noah-MP Model Skills J. Yin et al. https://doi.org/10.1016/j.jhydrol.2023.129596
20. Predicting root zone soil moisture with soil properties and satellite near-surface moisture data across the conterminous United States D. Baldwin et al. https://doi.org/10.1016/j.jhydrol.2017.01.020
21. Intercomparison and Uncertainty Assessment of Nine Evapotranspiration Estimates Over South America A. Sörensson & R. Ruscica https://doi.org/10.1002/2017WR021682
22. Improved prediction of quasi‐global vegetation conditions using remotely‐sensed surface soil moisture J. Bolten & W. Crow https://doi.org/10.1029/2012GL053470
23. Skill and lead time of vegetation drought impact forecasts based on soil moisture observations Y. Li et al. https://doi.org/10.1016/j.jhydrol.2023.129420
24. Evaluating ESA CCI soil moisture in East Africa A. McNally et al. https://doi.org/10.1016/j.jag.2016.01.001
25. The potential of 2D Kalman filtering for soil moisture data assimilation A. Gruber et al. https://doi.org/10.1016/j.rse.2015.10.019
26. An Intercomparison of Noah Model Skills With Benefits of Assimilating SMOPS Blended and Individual Soil Moisture Retrievals J. Yin et al. https://doi.org/10.1029/2018WR024326
27. Estimating error cross‐correlations in soil moisture data sets using extended collocation analysis A. Gruber et al. https://doi.org/10.1002/2015JD024027
28. Benchmarking a Soil Moisture Data Assimilation System for Agricultural Drought Monitoring E. Han et al. https://doi.org/10.1175/JHM-D-13-0125.1
29. The Auto-Tuned Land Data Assimilation System (ATLAS) W. Crow & M. Yilmaz https://doi.org/10.1002/2013WR014550
30. Toward Improved Regional Hydrological Model Performance Using State‐Of‐The‐Science Data‐Informed Soil Parameters C. Li et al. https://doi.org/10.1029/2023WR034431
31. Evaluating the Operational Application of SMAP for Global Agricultural Drought Monitoring I. Mladenova et al. https://doi.org/10.1109/JSTARS.2019.2923555
32. Changes in land use enhance the sensitivity of tropical ecosystems to fire-climate extremes S. Kumar et al. https://doi.org/10.1038/s41598-022-05130-0
33. Hydrologic and Agricultural Earth Observations and Modeling for the Water-Food Nexus A. McNally et al. https://doi.org/10.3389/fenvs.2019.00023
34. A flux tower site attribute dataset intended for land surface modeling J. Shi et al. https://doi.org/10.5194/essd-17-117-2025
35. Comparing soil moisture anomalies from multiple independent sources over different regions across the globe C. Cammalleri et al. https://doi.org/10.5194/hess-21-6329-2017
36. Assessing the effect of land cover on ISBA snow water equivalent and land surface temperature simulations over Europe O. Rojas-Munoz et al. https://doi.org/10.5194/tc-20-4099-2026
37. Improving Soil Moisture Estimation via Assimilation of Remote Sensing Product into the DSSAT Crop Model and Its Effect on Agricultural Drought Monitoring H. Zhou et al. https://doi.org/10.3390/rs14133187
38. Calculating Crop Water Requirement Satisfaction in the West Africa Sahel with Remotely Sensed Soil Moisture A. McNally et al. https://doi.org/10.1175/JHM-D-14-0049.1
39. Challenges for drought assessment in the Mediterranean region under future climate scenarios Y. Tramblay et al. https://doi.org/10.1016/j.earscirev.2020.103348
40. Investigating the Efficacy of the SMAP Downscaled Soil Moisture Product for Drought Monitoring Based on Information Theory Z. Wu et al. https://doi.org/10.1109/JSTARS.2021.3136565
41. On the value of combining different modelled soil moisture products for European drought monitoring C. Cammalleri et al. https://doi.org/10.1016/j.jhydrol.2015.04.021
42. Impact of Soil Moisture Data Characteristics on the Sensitivity to Crop Yields Under Drought and Excess Moisture Conditions C. Champagne et al. https://doi.org/10.3390/rs11040372
43. Spatial-temporal variability of soil moisture: Addressing the monitoring at the catchment scale J. Dari et al. https://doi.org/10.1016/j.jhydrol.2019.01.014
44. Variability of soil moisture proxies and hot days across the climate regimes of Australia A. Holmes et al. https://doi.org/10.1002/2017GL073793
45. Assessing the soil moisture drought index for agricultural drought monitoring based on green vegetation fraction retrieval methods R. Wu & Q. Li https://doi.org/10.1007/s11069-021-04693-x
46. Event-based dynamics of the soil water content at Alpine sites (Tyrol, Austria) K. Hagen et al. https://doi.org/10.1016/j.catena.2020.104682
47. Daily time series of river water levels derived from a seasonal linear model using multisource satellite products under uncertainty H. Pham et al. https://doi.org/10.1016/j.jhydrol.2021.126783
48. The added utility of nonlinear methods compared to linear methods in rescaling soil moisture products M. Afshar & M. Yilmaz https://doi.org/10.1016/j.rse.2017.05.017
49. Coupling the ParFlow Integrated Hydrology Model within the NASA Land Information System: a case study over the Upper Colorado River Basin P. Abbaszadeh et al. https://doi.org/10.5194/hess-29-5429-2025
50. Droughts in a warming climate: projected changes, sectoral impacts, and adaptation challenges K. Bhardwaj & A. Mishra https://doi.org/10.1007/s00477-026-03296-x
51. Estimating Root Zone Soil Moisture Across the Eastern United States with Passive Microwave Satellite Data and a Simple Hydrologic Model D. Baldwin et al. https://doi.org/10.3390/rs11172013
52. Improving Dynamic Vegetation Modeling in Noah‐MP by Parameter Optimization and Data Assimilation Over China's Loess Plateau Z. Shu et al. https://doi.org/10.1029/2022JD036703
53. Influence of Soil Properties in Different Management Systems: Estimating Soybean Water Changes in the Agro-IBIS Model V. Moreira et al. https://doi.org/10.1175/EI-D-16-0033.1
54. The Application of Ground-Based and Satellite Remote Sensing for Estimation of Bio-Physiological Parameters of Wheat Grown Under Different Water Regimes N. Mzid et al. https://doi.org/10.3390/w12082095
55. Enhancing the Ability of a Soil Moisture‐based Index for Agricultural Drought Monitoring by Incorporating Root Distribution H. Zhou et al. https://doi.org/10.1111/1752-1688.12573
56. Drought propagation and construction of a comprehensive drought index based on the Soil and Water Assessment Tool (SWAT) and empirical Kendall distribution function (KC′): a case study for the Jinta River basin in northwestern China Z. Liang et al. https://doi.org/10.5194/nhess-21-1323-2021
57. Effectiveness of multi-source merged soil moisture products using different triple collocation methods: A comprehensive assessment incorporating spatial similarity evaluation framework M. Cao et al. https://doi.org/10.1016/j.rse.2026.115715
58. Evaluation of Remotely-Sensed and Model-Based Soil Moisture Products According to Different Soil Type, Vegetation Cover and Climate Regime Using Station-Based Observations over Turkey B. Bulut et al. https://doi.org/10.3390/rs11161875
59. A Monte Carlo based adaptive Kalman filtering framework for soil moisture data assimilation A. Gruber et al. https://doi.org/10.1016/j.rse.2019.04.003
60. Sub-seasonal forecasting of cropland productivity anomalies using satellite soil moisture in water-limited environments A. Adebayo & C. Nakalembe https://doi.org/10.1016/j.rse.2026.115645
61. Spatial interpolation of red bed soil moisture in Nanxiong basin, South China P. Yan et al. https://doi.org/10.1016/j.jconhyd.2021.103860
62. How Satellite Soil Moisture Data Can Help to Monitor the Impacts of Climate Change: SMAP Case Studies C. Forgotson et al. https://doi.org/10.1109/JSTARS.2020.2982608
63. Analysis of the relationship between yield in cereals and remotely sensed fAPAR in the framework of monitoring drought impacts in Europe C. Cammalleri et al. https://doi.org/10.5194/nhess-22-3737-2022
64. Land surface models systematically overestimate the intensity, duration and magnitude of seasonal-scale evaporative droughts A. Ukkola et al. https://doi.org/10.1088/1748-9326/11/10/104012
65. Global relationships among traditional reflectance vegetation indices (NDVI and NDII), evapotranspiration (ET), and soil moisture variability on weekly timescales J. Joiner et al. https://doi.org/10.1016/j.rse.2018.10.020
66. Field-scale soil moisture bridges the spatial-scale gap between drought monitoring and agricultural yields N. Vergopolan et al. https://doi.org/10.5194/hess-25-1827-2021
67. Studying the impacts of land use types and soil textures on agricultural drought in Ziya river basin using SWDI Y. Zhang et al. https://doi.org/10.1038/s41598-025-26246-z
68. Parameter optimisation for a better representation of drought by LSMs: inverse modelling vs. sequential data assimilation H. Dewaele et al. https://doi.org/10.5194/hess-21-4861-2017