Thu Apr 10, F. Flechtner
• Sorted by Date • Sorted by Last Name of First Author •
Cai, Xitian, Yang, Zong-Liang, David, Cédric H., Niu, Guo-Yue, and Rodell, Matthew, 2014. Hydrological evaluation of the Noah-MP land surface model for the Mississippi River Basin. Journal of Geophysical Research (Atmospheres), 119(1):23–38, doi:10.1002/2013JD020792.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2014JGRD..119...23C,
author = {{Cai}, Xitian and {Yang}, Zong-Liang and {David}, C{\'e}dric H. and {Niu}, Guo-Yue and {Rodell}, Matthew},
title = "{Hydrological evaluation of the Noah-MP land surface model for the Mississippi River Basin}",
journal = {Journal of Geophysical Research (Atmospheres)},
keywords = {Noah, land surface model, evaluation, hydrology, Mississippi River Basin, multiphysics},
year = 2014,
month = jan,
volume = {119},
number = {1},
pages = {23-38},
abstract = "{study evaluates regional-scale hydrological simulations of the newly
developed community Noah land surface model (LSM) with
multiparameterization options (Noah-MP). The model is configured
for the Mississippi River Basin and driven by the North American
Land Data Assimilation System Phase 2 atmospheric forcing at
1/8{\textdegree} resolution. The simulations are compared with
various observational data sets, including the U.S. Geological
Survey streamflow and groundwater data, the AmeriFlux tower
micrometeorological evapotranspiration (ET) measurements, the
Soil Climate Analysis Network (SCAN)-observed soil moisture
data, and the Gravity Recovery and Climate Experiment satellite-
derived terrestrial water storage (TWS) anomaly data. Compared
with these observations and to the baseline Noah LSM
simulations, Noah-MP shows significant improvement in
hydrological modeling for major hydrological variables (runoff,
groundwater, ET, soil moisture, and TWS), which is very likely
due to the incorporation of some major improvements into Noah-
MP, particularly an unconfined aquifer storage layer for
groundwater dynamics and an interactive vegetation canopy for
dynamic leaf phenology. Noah-MP produces soil moisture values
consistent with the SCAN observations for the top two soil
layers (0-10 cm and 10-40 cm), indicating its great potential to
be used in studying land-atmosphere coupling. In addition, the
simulated groundwater spatial patterns are comparable to
observations; however, the inclusion of groundwater in Noah-MP
requires a longer spin-up time (34 years for the entire study
domain). Runoff simulation is highly sensitive to three
parameters: the surface dryness factor ({\ensuremath{\alpha}}),
the saturated hydraulic conductivity (k), and the saturated soil
moisture ({\ensuremath{\theta}}$_{max}$).}",
doi = {10.1002/2013JD020792},
adsurl = {https://ui.adsabs.harvard.edu/abs/2014JGRD..119...23C},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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