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Exploiting soil moisture, precipitation and streamflow observations to evaluate soil moisture/runoff coupling in land surface models

CITE Title : Exploiting soil moisture, precipitation and streamflow observations to evaluate soil moisture/runoff coupling in land surface models Personal Author(s) : Crow, W. T.;Chen, F.;Reichle, R. H.;Xia, Y.;Liu, Q.; Published Date : 2018 Source : Geophysical Research Letters, 45(10) DOI : https://doi.org/10.1029/2018GL077193 Journal Title : Geophysical Research Letters Crow, W. T. et al. (2018). Exploiting soil moisture, precipitation and streamflow observations to evaluate soil moisture/runoff coupling in land surface models. 45(10). https://doi.org/10.1029/2018GL077193 Crow, W. T. et al. "Exploiting soil moisture, precipitation and streamflow observations to evaluate soil moisture/runoff coupling in land surface models" 45, no. 10 (2018), https://doi.org/10.1029/2018GL077193 Crow, W. T. et al. "Exploiting soil moisture, precipitation and streamflow observations to evaluate soil moisture/runoff coupling in land surface models" vol. 45, no. 10, 2018, https://doi.org/10.1029/2018GL077193 Export RIS Citation Information.

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Crow, W. T.

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Chen, F.

2018 | Geophysical Research Letters, 45(10)

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Accurate partitioning of precipitation into infiltration and runoff is a fundamental objective of land surface models tasked with characterizing the s...
Diagnosing Bias in Modeled Soil Moisture/Runoff Coefficient Correlation Using the SMAP Level 4 Soil Moisture Product

CITE Title : Diagnosing Bias in Modeled Soil Moisture/Runoff Coefficient Correlation Using the SMAP Level 4 Soil Moisture Product Personal Author(s) : Crow, W. T.;Chen, F.;Reichle, R. H.;Xia, Y.; Published Date : 2019 Source : Water Resources Research, 55(8), 7010-7026 DOI : https://doi.org/10.1029/2019wr025245 Journal Title : Water Resources Research Crow, W. T. et al. (2019). Diagnosing Bias in Modeled Soil Moisture/Runoff Coefficient Correlation Using the SMAP Level 4 Soil Moisture Product. 55(8). https://doi.org/10.1029/2019wr025245 Crow, W. T. et al. "Diagnosing Bias in Modeled Soil Moisture/Runoff Coefficient Correlation Using the SMAP Level 4 Soil Moisture Product" 55, no. 8 (2019), https://doi.org/10.1029/2019wr025245 Crow, W. T. et al. "Diagnosing Bias in Modeled Soil Moisture/Runoff Coefficient Correlation Using the SMAP Level 4 Soil Moisture Product" vol. 55, no. 8, 2019, https://doi.org/10.1029/2019wr025245 Export RIS Citation Information.

:

Crow, W. T.

;

Chen, F.

2019 | Water Resources Research, 55(8), 7010-7026

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The physical parameterization of key processes in land surface models (LSMs) remains uncertain, and new techniques are required to evaluate LSMs accur...
Evaluation of Retrospective National Water Model Soil Moisture and Streamflow for Drought‐Monitoring Applications

CITE Title : Evaluation of Retrospective National Water Model Soil Moisture and Streamflow for Drought‐Monitoring Applications Personal Author(s) : Hughes, M.;Jackson, D. L.;Unruh, D.;Wang, H.;Hobbins, M.;Ogden, F. L.;Cifelli, R.;Cosgrove, B.;DeWitt, D.;Dugger, A.;Ford, T. W.;Fuchs, B.;Glaudemans, M.;Gochis, D.;Quiring, S. M.;RafieeiNasab, A.;Webb, R. S.;Xia, Y.;Xu, L.; Published Date : 2024 Source : Journal of Geophysical Research: Atmospheres, 129(6) DOI : https://doi.org/10.1029/2023jd038522 Journal Title : Journal of Geophysical Research: Atmospheres Hughes, M. et al. (2024). Evaluation of Retrospective National Water Model Soil Moisture and Streamflow for Drought‐Monitoring Applications. 129(6). https://doi.org/10.1029/2023jd038522 Hughes, M. et al. "Evaluation of Retrospective National Water Model Soil Moisture and Streamflow for Drought‐Monitoring Applications" 129, no. 6 (2024), https://doi.org/10.1029/2023jd038522 Hughes, M. et al. "Evaluation of Retrospective National Water Model Soil Moisture and Streamflow for Drought‐Monitoring Applications" vol. 129, no. 6, 2024, https://doi.org/10.1029/2023jd038522 Export RIS Citation Information.

:

Hughes, M.

;

Jackson, D. L.

2024 | Journal of Geophysical Research: Atmospheres, 129(6)

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The National Oceanic and Atmospheric Administration (NOAA)’s National Water Model (NWM) provides analyses and predictions of hydrologic variables re...