Articles | Volume 26, issue 9
https://doi.org/10.5194/hess-26-2365-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-26-2365-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
06 May 2022
Research article |
| 06 May 2022
| 06 May 2022
Towards effective drought monitoring in the Middle East and North Africa (MENA) region: implications from assimilating leaf area index and soil moisture into the Noah-MP land surface model for Morocco
Department of Earth and Planetary Sciences, Johns Hopkins University, Baltimore, Maryland, USA
NASA Goddard Earth and Sciences Technology and Research (GESTAR), Greenbelt, Maryland, USA
Sujay V. Kumar
Hydrological Science Laboratory, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA
Kristi R. Arsenault
Hydrological Science Laboratory, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA
Science Applications International Corporation, McLean, Virginia, USA
Christa D. Peters-Lidard
Earth Science Division, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA
Iliana E. Mladenova
USDA Foreign Agricultural Service, Washington, DC, USA
Karim Bergaoui
ACQUATEC Solutions, Dubai Technology Entrepreneur Campus (DTEC), Dubai Silicon Oasis, Dubai, UAE
Abheera Hazra
Hydrological Science Laboratory, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA
Earth System Science Interdisciplinary Center, University of Maryland, College Park, Maryland, USA
Benjamin F. Zaitchik
Department of Earth and Planetary Sciences, Johns Hopkins University, Baltimore, Maryland, USA
Sarith P. Mahanama
Science Systems and Applications Inc., Lanham, Maryland, USA
Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA
Rachael McDonnell
Water, Climate Change and Resilience Program, International Water Management Institute – Rome office, Rome, Italy
David M. Mocko
Hydrological Science Laboratory, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA
Science Applications International Corporation, McLean, Virginia, USA
Mahdi Navari
Hydrological Science Laboratory, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA
Earth System Science Interdisciplinary Center, University of Maryland, College Park, Maryland, USA
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Cited
17 citations as recorded by crossref.
- Improving Dynamic Vegetation Modeling in Noah‐MP by Parameter Optimization and Data Assimilation Over China's Loess Plateau Z. Shu et al. 10.1029/2022JD036703
- High-resolution soil moisture mapping using PSO-based optimized cerebellar model articulation controller (CMAC) V. Moosavi et al. 10.1016/j.scitotenv.2022.159493
- Remote sensing-based vegetation and soil moisture constraints reduce irrigation estimation uncertainty W. Nie et al. 10.1088/1748-9326/ac7ed8
- Diminishing evapotranspiration paradox and its cause in the Middle East and North Africa M. Hamed et al. 10.1016/j.atmosres.2023.106760
- Enhancing water-carbon fluxes and yield predictions of winter wheat using irrigation and data assimilation techniques in a land surface model T. Xu et al. 10.1016/j.compag.2024.109140
- Bias-blind and bias-aware assimilation of leaf area index into the Noah-MP land surface model over Europe S. Scherrer et al. 10.5194/hess-27-4087-2023
- Reprocessed MODIS Version 6.1 Leaf Area Index Dataset and Its Evaluation for Land Surface and Climate Modeling W. Lin et al. 10.3390/rs15071780
- Flash Drought Onset and Development Mechanisms Captured With Soil Moisture and Vegetation Data Assimilation S. Ahmad et al. 10.1029/2022WR032894
- Innovative approach for estimating evapotranspiration and gross primary productivity by integrating land data assimilation, machine learning, and multi-source observations X. He et al. 10.1016/j.agrformet.2024.110136
- Challenges and benefits of quantifying irrigation through the assimilation of Sentinel-1 backscatter observations into Noah-MP S. Modanesi et al. 10.5194/hess-26-4685-2022
- Climatic and anthropogenic controls on groundwater dynamics in the Mekong River Basin T. Kabir et al. 10.1016/j.jhydrol.2023.129761
- Impact of political and security stability on food security in developing countries: Case of Africa, Asia, Latin America and the Caribbean J. Mulyo et al. 10.17221/142/2023-AGRICECON
- Estimations of potential evapotranspiration from CMIP6 multi-model ensemble over Africa I. Yahaya et al. 10.1016/j.atmosres.2024.107255
- Modernizing the open-source community Noah with multi-parameterization options (Noah-MP) land surface model (version 5.0) with enhanced modularity, interoperability, and applicability C. He et al. 10.5194/gmd-16-5131-2023
- Towards effective drought monitoring in the Middle East and North Africa (MENA) region: implications from assimilating leaf area index and soil moisture into the Noah-MP land surface model for Morocco W. Nie et al. 10.5194/hess-26-2365-2022
- How to improve agricultural value-added in the MENA region? Implementation of Diamond Porter's theory in agriculture A. Nugroho et al. 10.3389/fsufs.2022.956701
- Development of a composite drought indicator for operational drought monitoring in the MENA region K. Bergaoui et al. 10.1038/s41598-024-55626-0
14 citations as recorded by crossref.
- Improving Dynamic Vegetation Modeling in Noah‐MP by Parameter Optimization and Data Assimilation Over China's Loess Plateau Z. Shu et al. 10.1029/2022JD036703
- High-resolution soil moisture mapping using PSO-based optimized cerebellar model articulation controller (CMAC) V. Moosavi et al. 10.1016/j.scitotenv.2022.159493
- Remote sensing-based vegetation and soil moisture constraints reduce irrigation estimation uncertainty W. Nie et al. 10.1088/1748-9326/ac7ed8
- Diminishing evapotranspiration paradox and its cause in the Middle East and North Africa M. Hamed et al. 10.1016/j.atmosres.2023.106760
- Enhancing water-carbon fluxes and yield predictions of winter wheat using irrigation and data assimilation techniques in a land surface model T. Xu et al. 10.1016/j.compag.2024.109140
- Bias-blind and bias-aware assimilation of leaf area index into the Noah-MP land surface model over Europe S. Scherrer et al. 10.5194/hess-27-4087-2023
- Reprocessed MODIS Version 6.1 Leaf Area Index Dataset and Its Evaluation for Land Surface and Climate Modeling W. Lin et al. 10.3390/rs15071780
- Flash Drought Onset and Development Mechanisms Captured With Soil Moisture and Vegetation Data Assimilation S. Ahmad et al. 10.1029/2022WR032894
- Innovative approach for estimating evapotranspiration and gross primary productivity by integrating land data assimilation, machine learning, and multi-source observations X. He et al. 10.1016/j.agrformet.2024.110136
- Challenges and benefits of quantifying irrigation through the assimilation of Sentinel-1 backscatter observations into Noah-MP S. Modanesi et al. 10.5194/hess-26-4685-2022
- Climatic and anthropogenic controls on groundwater dynamics in the Mekong River Basin T. Kabir et al. 10.1016/j.jhydrol.2023.129761
- Impact of political and security stability on food security in developing countries: Case of Africa, Asia, Latin America and the Caribbean J. Mulyo et al. 10.17221/142/2023-AGRICECON
- Estimations of potential evapotranspiration from CMIP6 multi-model ensemble over Africa I. Yahaya et al. 10.1016/j.atmosres.2024.107255
- Modernizing the open-source community Noah with multi-parameterization options (Noah-MP) land surface model (version 5.0) with enhanced modularity, interoperability, and applicability C. He et al. 10.5194/gmd-16-5131-2023
3 citations as recorded by crossref.
- Towards effective drought monitoring in the Middle East and North Africa (MENA) region: implications from assimilating leaf area index and soil moisture into the Noah-MP land surface model for Morocco W. Nie et al. 10.5194/hess-26-2365-2022
- How to improve agricultural value-added in the MENA region? Implementation of Diamond Porter's theory in agriculture A. Nugroho et al. 10.3389/fsufs.2022.956701
- Development of a composite drought indicator for operational drought monitoring in the MENA region K. Bergaoui et al. 10.1038/s41598-024-55626-0
Latest update: 23 Nov 2024
Short summary
The MENA (Middle East and North Africa) region faces significant food and water insecurity and hydrological hazards. Here we investigate the value of assimilating remote sensing data sets into an Earth system model to help build an effective drought monitoring system and support risk mitigation and management by countries in the region. We highlight incorporating satellite-informed vegetation conditions into the model as being one of the key processes for a successful application for the region.
The MENA (Middle East and North Africa) region faces significant food and water insecurity and...
