4.6 Article

Global-scale land surface hydrologic modeling with the representation of water table dynamics

Journal

JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
Volume 119, Issue 1, Pages 75-89

Publisher

AMER GEOPHYSICAL UNION
DOI: 10.1002/2013JD020398

Keywords

global land surface model; water table dynamics; global water table depth; parameter estimation; global groundwater recharge

Funding

  1. Core Research of Evolutional Science & Technology (CREST) project of Japan Science and Technology Agency (JST)
  2. Japan Society for the Promotion of Science (JSPS)-KAKENHI [19106008]
  3. Grants-in-Aid for Scientific Research [23226012] Funding Source: KAKEN

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Water table dynamics, a basic hydrologic process, was traditionally not considered in global-scale land surface models (LSMs). In this study, a representation of water table dynamics is integrated into a global LSM to address the shortcomings of existing global-scale modeling studies and the appropriateness of specifying certain parameters as globally constant. Evaluation of model simulation using globally varying parameters against river discharge observations in selected large rivers shows improvements when the water table dynamics is included in the model. The mechanisms by which the water table dynamics affects land surface hydrologic simulation are then investigated by analyzing the sensitivity simulation of groundwater (GW) capillary flux. The result indicates that global mean evapotranspiration (ET) increases by similar to 9% when GW capillary flux is considered. The semiarid regions with marked dry season have the largest increase (similar to 25%), while the humid and high-latitude regions with sufficient moisture but limited radiation energy have the smallest increase. Increase in ET is more pronounced in dry season when GW recharge becomes negative (upward moisture supply from the aquifer), but its magnitude depends on the water table depth (WTD). On the other hand, a deeper WTD caused by the GW capillary flux is found to decrease runoff throughout the year in regions with a large increase in ET in dry season only. Based on our modeling result, about 50% of global land area (especially in humid and high-latitude regions) is simulated to have the mean WTD shallower than 5m, which emphasizes the significance of representing water table dynamics in global-scale LSMs.

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