H51K-1531
Investigating the variation of terrestrial water storage under changing climate and land cover

Friday, 18 December 2015
Poster Hall (Moscone South)
Yuanhao Fang1, Guo-Yue Niu2, Xingnan Zhang1 and Peter A A Troch2, (1)Hohai University, Nanjing, China, (2)University of Arizona, Tucson, AZ, United States
Abstract:
Terrestrial water storage (TWS) consists of groundwater, soil moisture, snow and ice, lakes and rivers and water contained in biomass. The water storage, especially the subsurface storage, is an essential property of the catchment, which controls climate, hydrological and biogeochemical processes at different scales. During the past decades, climate and land cover change has been proved to exert significant influences on hydrological processes which in turn alters the TWS variation. In order to better understand the interaction and feedback mechanism between TWS and earth system, it is necessary to quantify the effects of climate and land cover change on TWS variation. Direct estimation of total TWS has been made possible by the Gravity Recovery And Climate Experiment (GRACE) satellites that measures the earth gravity field. At present, few efforts were made to explicitly investigate the TWS variation under changing climate and land cover. GRACE data has its own limitations. One is its temporal coverage is short, it’s only available since 2002, which is not sufficient to reflect the trend due to climate and land cover change. The other reason is that it cannot distinguish different components contributing to TWS.

The limitation of TWS observation data can be overcame by numerical models developed to reproduce or to predict different earth system processes. After calibration and validation, with limited observations, these models can be trusted to extend our knowledge to where observations are not available both in time and space. In this study, based on Noah-MP LSM and satellite and ground data, we aim to:

(1) Investigate the variation of total TWS as well as its components over Upper Colorado River Basin from 1990 to 2014.

(2) Identify the major factors that control the TWS variation.

(3) Quantify how the changing climate and land cover affect TWS variation in the same period.