Development of a Land Surface Model. Part II: Data Assimilation
Authors:
- Jonathan E. PleimJonathan E. Pleim
- Aijun XiuAXAijun Xiu
- 1 December 2003
- journal article
- Published by American Meteorological Society in Journal of Applied Meteorology and Climatology
- Vol. 42 (12) , 1811-1822
Abstract
Part I described a land surface model, its implementation in the fifth-generation Pennsylvania State University–National Center for Atmospheric Research Mesoscale Model (MM5), and some model evaluation results. Part II describes the indirect soil moisture data assimilation scheme. As described in Part I, the land surface model includes explicit soil moisture, which is based on the Interactions between Soil, Biosphere, and Atmosphere (ISBA) model, and three pathways for evaporation: soil evaporation, evaporation from the wet canopy, and vegetative transpiration. The data assimilation scheme presented here also follows similar work on data assimilation for ISBA and uses model biases of the 2-m air temperature and humidity against observed analyses to nudge soil moisture. An important difference from the ISBA schemes is that the nudging strengths are computed from model parameters such as solar radiation, temperature, leaf area, vegetation coverage, and aerodynamic resistance rather than from statis... Abstract Part I described a land surface model, its implementation in the fifth-generation Pennsylvania State University–National Center for Atmospheric Research Mesoscale Model (MM5), and some model evaluation results. Part II describes the indirect soil moisture data assimilation scheme. As described in Part I, the land surface model includes explicit soil moisture, which is based on the Interactions between Soil, Biosphere, and Atmosphere (ISBA) model, and three pathways for evaporation: soil evaporation, evaporation from the wet canopy, and vegetative transpiration. The data assimilation scheme presented here also follows similar work on data assimilation for ISBA and uses model biases of the 2-m air temperature and humidity against observed analyses to nudge soil moisture. An important difference from the ISBA schemes is that the nudging strengths are computed from model parameters such as solar radiation, temperature, leaf area, vegetation coverage, and aerodynamic resistance rather than from statis...Keywords
This publication has 20 references indexed in Scilit:
- Assimilation of screen-level observations by variational soil moisture analysisMeteorology and Atmospheric Physics, 2001
- Coupling an Advanced Land Surface–Hydrology Model with the Penn State–NCAR MM5 Modeling System. Part I: Model Implementation and SensitivityMonthly Weather Review, 2001
- Evaluation of the Optimum Interpolation and Nudging Techniques for Soil Moisture Analysis Using FIFE DataMonthly Weather Review, 2000
- Implementation of a New Assimilation Scheme for Soil and Surface Variables in a Global NWP ModelMonthly Weather Review, 2000
- A comparison of boundary layer diffusion schemes in unstable conditions over landBoundary-Layer Meteorology, 1995
- Sequential Assimilation of Soil Moisture from Atmospheric Low-Level Parameters. Part I: Sensitivity and Calibration StudiesJournal of Applied Meteorology and Climatology, 1993
- Sequential Assimilation of Soil Moisture from Atmospheric Low-Level Parameters. Part II: Implementation in a Mesoscale ModelJournal of Applied Meteorology and Climatology, 1993
- A One-Dimensional Entraining/Detraining Plume Model and Its Application in Convective ParameterizationJournal of the Atmospheric Sciences, 1990
- Sensitivity study and validation of a land surface parameterization using the HAPEX-MOBILHY data setBoundary-Layer Meteorology, 1990
- A Simple Scheme for Objective Analysis in Curved FlowMonthly Weather Review, 1985