Project Details
Projekt
Identifiability of soil and ecosystem states and parameters of integrated subsurface-land surface-atmosphere models by multivariate data assimilation
Subject Area
Hydrogeology, Hydrology, Limnology, Urban Water Management, Water Chemistry, Integrated Water Resources Management
Term
from 2013 to 2021
Project identifier
Deutsche Forschungsgemeinschaft (DFG) - Project number 243358811
We will implement a strategy to assimilate land surface temperature by simultaneously considering multiple observations during a day to update sensitive land surface parameters and states. We will develop an operator to assimilate leaf area index and update the dynamical vegetation states and sensitive ecosystem parameters. Synthetic experiments estimate the value of these data together with observed soil moisture. In particular, we will detect under realistic scenarios including multiple sources of uncertainty and several unknown parameters, whether we can improve parameter estimation, and to what extent the assimilation of certain data types improves the state of other compartments. Synthetic tests are carried out first for the land component of TerrSysMP-PDAF (CLM-ParFlow-PDAF) using a joint test case with P5, P6 and P7. We will contribute to the experiments made with the complete TerrSysMP-PDAF coordinated by C1. Finally, tests will be made for the Rur catchment.
DFG Programme
Research Units
Subproject of
FOR 2131:
Data Assimilation for Improved Characterisation of Fluxes across Compartmental Interfaces
Co-Investigator
Professor Dr. Harry Vereecken
