An agenda for land data assimilation priorities: Realizing the promise of terrestrial water, energy, and vegetation observations from space

S Kumar, J Kolassa, R Reichle, W Crow… - Journal of Advances …, 2022 - Wiley Online Library
The task of quantifying spatial and temporal variations in terrestrial water, energy, and
vegetation conditions is challenging due to the significant complexity and heterogeneity of …

ERA-5 and ERA-Interim driven ISBA land surface model simulations: which one performs better?

C Albergel, E Dutra, S Munier, JC Calvet… - Hydrology and Earth …, 2018 - hess.copernicus.org
The European Centre for Medium-Range Weather Forecasts (ECMWF) recently released
the first 7-year segment of its latest atmospheric reanalysis: ERA-5 over the period 2010 …

Multi-objective calibration of a hydrologic model using spatially distributed remotely sensed/in-situ soil moisture

MA Rajib, V Merwade, Z Yu - Journal of hydrology, 2016 - Elsevier
The objective of this study is to evaluate the relative potential of spatially distributed surface
and root zone soil moisture estimates in calibration of Soil and Water Assessment Tool …

Multivariate assimilation of remotely sensed soil moisture and evapotranspiration for drought monitoring

K Gavahi, P Abbaszadeh… - Journal of …, 2020 - journals.ametsoc.org
Soil moisture (SM) and evapotranspiration (ET) are key variables of the terrestrial water
cycle with a strong relationship. This study examines remotely sensed soil moisture and …

Improving predictions of evapotranspiration by integrating multi-source observations and land surface model

X He, S Liu, T Xu, K Yu, P Gentine, Z Zhang… - Agricultural Water …, 2022 - Elsevier
Accurate estimation of evapotranspiration (ET) is essential for understanding terrestrial
energy, water, and carbon cycles. This study proposes a hybrid model integrating in-situ and …

NCA-LDAS: overview and analysis of hydrologic trends for the national climate assessment

MF Jasinski, JS Borak, SV Kumar… - Journal of …, 2019 - journals.ametsoc.org
Terrestrial hydrologic trends over the conterminous United States are estimated for 1980–
2015 using the National Climate Assessment Land Data Assimilation System (NCA-LDAS) …

Evaluation of a data assimilation system for land surface models using CLM4. 5

AM Fox, TJ Hoar, JL Anderson… - Journal of Advances …, 2018 - Wiley Online Library
The magnitude and persistence of land carbon (C) pools influence long‐term climate
feedbacks. Interactive ecological processes influence land C pools and our understanding …

Linkages between rainfed cereal production and agricultural drought through remote sensing indices and a land data assimilation system: A case study in Morocco

EH Bouras, L Jarlan, S Er-Raki, C Albergel, B Richard… - Remote Sensing, 2020 - mdpi.com
In Morocco, cereal production shows high interannual variability due to uncertain rainfall
and recurrent drought periods. Considering the socioeconomic importance of cereal for the …

Monitoring and forecasting the impact of the 2018 summer heatwave on vegetation

C Albergel, E Dutra, B Bonan, Y Zheng, S Munier… - Remote Sensing, 2019 - mdpi.com
This study aims to assess the potential of the LDAS-Monde platform, a land data assimilation
system developed by Météo-France, to monitor the impact on vegetation state of the 2018 …

LDAS-Monde sequential assimilation of satellite derived observations applied to the contiguous US: An ERA-5 driven reanalysis of the land surface variables

C Albergel, S Munier, A Bocher, B Bonan, Y Zheng… - Remote Sensing, 2018 - mdpi.com
Land data assimilation system (LDAS)-Monde, an offline land data assimilation system with
global capacity, is applied over the CONtiguous US (CONUS) domain to enhance …