The influence of assimilating leaf area index in a land surface model on global water fluxes and storages
<p>Vegetation plays a fundamental role not only in the energy and carbon cycles but also in the global water balance by controlling surface evapotranspiration (ET). Thus, accurately estimating vegetation-related variables has the potential to improve our understanding and estimation of the dyn...
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2020-07-01
|
| Series: | Hydrology and Earth System Sciences |
| Online Access: | https://hess.copernicus.org/articles/24/3775/2020/hess-24-3775-2020.pdf |
| _version_ | 1818300240681238528 |
|---|---|
| author | X. Zhang V. Maggioni A. Rahman P. Houser Y. Xue T. Sauer S. Kumar D. Mocko |
| author_facet | X. Zhang V. Maggioni A. Rahman P. Houser Y. Xue T. Sauer S. Kumar D. Mocko |
| author_sort | X. Zhang |
| collection | DOAJ |
| description | <p>Vegetation plays a fundamental role not only in the
energy and carbon cycles but also in the global water balance by
controlling surface evapotranspiration (ET). Thus, accurately estimating
vegetation-related variables has the potential to improve our understanding
and estimation of the dynamic interactions between the water, energy, and
carbon cycles. This study aims to assess the extent to which a land surface model
(LSM) can be optimized through the assimilation of leaf area index (LAI)
observations at the global scale. Two observing system simulation
experiments (OSSEs) are performed to evaluate the efficiency of assimilating
LAI into an LSM through an ensemble Kalman filter (EnKF) to estimate LAI,
ET, canopy-interception evaporation (CIE), canopy water storage (CWS),
surface soil moisture (SSM), and terrestrial water storage (TWS). Results
show that the LAI data assimilation framework not only effectively reduces
errors in LAI model simulations but also improves all the modeled water
flux and storage variables considered in this study (ET, CIE, CWS, SSM, and
TWS), even when the forcing precipitation is strongly positively biased
(extremely wet conditions). However, it tends to worsen some of the modeled
water-related variables (SSM and TWS) when the forcing precipitation is
affected by a dry bias. This is attributed to the fact that the amount of
water in the LSM is conservative, and the LAI assimilation introduces more
vegetation, which requires more water than what is available within the soil.</p> |
| first_indexed | 2024-12-13T05:03:59Z |
| format | Article |
| id | doaj.art-adc81cc3f88c4ce2859fd92f6ac2d2e4 |
| institution | Directory Open Access Journal |
| issn | 1027-5606 1607-7938 |
| language | English |
| last_indexed | 2024-12-13T05:03:59Z |
| publishDate | 2020-07-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Hydrology and Earth System Sciences |
| spelling | doaj.art-adc81cc3f88c4ce2859fd92f6ac2d2e42022-12-21T23:58:43ZengCopernicus PublicationsHydrology and Earth System Sciences1027-56061607-79382020-07-01243775378810.5194/hess-24-3775-2020The influence of assimilating leaf area index in a land surface model on global water fluxes and storagesX. Zhang0V. Maggioni1A. Rahman2P. Houser3Y. Xue4T. Sauer5S. Kumar6D. Mocko7Department of Civil, Environmental and Infrastructure Engineering, George Mason University, Fairfax, VA 20771, USADepartment of Civil, Environmental and Infrastructure Engineering, George Mason University, Fairfax, VA 20771, USADepartment of Civil, Environmental and Infrastructure Engineering, George Mason University, Fairfax, VA 20771, USADepartment of Civil, Environmental and Infrastructure Engineering, George Mason University, Fairfax, VA 20771, USADepartment of Civil, Environmental and Infrastructure Engineering, George Mason University, Fairfax, VA 20771, USADepartment of Civil, Environmental and Infrastructure Engineering, George Mason University, Fairfax, VA 20771, USAHydrological Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USAHydrological Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA<p>Vegetation plays a fundamental role not only in the energy and carbon cycles but also in the global water balance by controlling surface evapotranspiration (ET). Thus, accurately estimating vegetation-related variables has the potential to improve our understanding and estimation of the dynamic interactions between the water, energy, and carbon cycles. This study aims to assess the extent to which a land surface model (LSM) can be optimized through the assimilation of leaf area index (LAI) observations at the global scale. Two observing system simulation experiments (OSSEs) are performed to evaluate the efficiency of assimilating LAI into an LSM through an ensemble Kalman filter (EnKF) to estimate LAI, ET, canopy-interception evaporation (CIE), canopy water storage (CWS), surface soil moisture (SSM), and terrestrial water storage (TWS). Results show that the LAI data assimilation framework not only effectively reduces errors in LAI model simulations but also improves all the modeled water flux and storage variables considered in this study (ET, CIE, CWS, SSM, and TWS), even when the forcing precipitation is strongly positively biased (extremely wet conditions). However, it tends to worsen some of the modeled water-related variables (SSM and TWS) when the forcing precipitation is affected by a dry bias. This is attributed to the fact that the amount of water in the LSM is conservative, and the LAI assimilation introduces more vegetation, which requires more water than what is available within the soil.</p>https://hess.copernicus.org/articles/24/3775/2020/hess-24-3775-2020.pdf |
| spellingShingle | X. Zhang V. Maggioni A. Rahman P. Houser Y. Xue T. Sauer S. Kumar D. Mocko The influence of assimilating leaf area index in a land surface model on global water fluxes and storages Hydrology and Earth System Sciences |
| title | The influence of assimilating leaf area index in a land surface model on global water fluxes and storages |
| title_full | The influence of assimilating leaf area index in a land surface model on global water fluxes and storages |
| title_fullStr | The influence of assimilating leaf area index in a land surface model on global water fluxes and storages |
| title_full_unstemmed | The influence of assimilating leaf area index in a land surface model on global water fluxes and storages |
| title_short | The influence of assimilating leaf area index in a land surface model on global water fluxes and storages |
| title_sort | influence of assimilating leaf area index in a land surface model on global water fluxes and storages |
| url | https://hess.copernicus.org/articles/24/3775/2020/hess-24-3775-2020.pdf |
| work_keys_str_mv | AT xzhang theinfluenceofassimilatingleafareaindexinalandsurfacemodelonglobalwaterfluxesandstorages AT vmaggioni theinfluenceofassimilatingleafareaindexinalandsurfacemodelonglobalwaterfluxesandstorages AT arahman theinfluenceofassimilatingleafareaindexinalandsurfacemodelonglobalwaterfluxesandstorages AT phouser theinfluenceofassimilatingleafareaindexinalandsurfacemodelonglobalwaterfluxesandstorages AT yxue theinfluenceofassimilatingleafareaindexinalandsurfacemodelonglobalwaterfluxesandstorages AT tsauer theinfluenceofassimilatingleafareaindexinalandsurfacemodelonglobalwaterfluxesandstorages AT skumar theinfluenceofassimilatingleafareaindexinalandsurfacemodelonglobalwaterfluxesandstorages AT dmocko theinfluenceofassimilatingleafareaindexinalandsurfacemodelonglobalwaterfluxesandstorages AT xzhang influenceofassimilatingleafareaindexinalandsurfacemodelonglobalwaterfluxesandstorages AT vmaggioni influenceofassimilatingleafareaindexinalandsurfacemodelonglobalwaterfluxesandstorages AT arahman influenceofassimilatingleafareaindexinalandsurfacemodelonglobalwaterfluxesandstorages AT phouser influenceofassimilatingleafareaindexinalandsurfacemodelonglobalwaterfluxesandstorages AT yxue influenceofassimilatingleafareaindexinalandsurfacemodelonglobalwaterfluxesandstorages AT tsauer influenceofassimilatingleafareaindexinalandsurfacemodelonglobalwaterfluxesandstorages AT skumar influenceofassimilatingleafareaindexinalandsurfacemodelonglobalwaterfluxesandstorages AT dmocko influenceofassimilatingleafareaindexinalandsurfacemodelonglobalwaterfluxesandstorages |