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Systematic Bias in Land Surface Models
Publisher: American Meteorological Society
Abstract: A neural network?based flux correction technique is applied to three land surface models. It is then used to show that the nature of systematic model error in simulations of latent heat, sensible heat, and the net ecosystem ...
Soil Moisture Memory in AGCM Simulations: Analysis of Global Land–Atmosphere Coupling Experiment (GLACE) Data
Publisher: American Meteorological Society
Abstract: Soil moisture memory is a key aspect of land?atmosphere interaction and has major implications for seasonal forecasting. Because of a severe lack of soil moisture observations on most continents, existing analyses of ...
GLACE: The Global Land–Atmosphere Coupling Experiment. Part I: Overview
Publisher: American Meteorological Society
Abstract: The Global Land?Atmosphere Coupling Experiment (GLACE) is a model intercomparison study focusing on a typically neglected yet critical element of numerical weather and climate modeling: land?atmosphere coupling strength, ...
GLACE: The Global Land–Atmosphere Coupling Experiment. Part II: Analysis
Publisher: American Meteorological Society
Abstract: The 12 weather and climate models participating in the Global Land?Atmosphere Coupling Experiment (GLACE) show both a wide variation in the strength of land?atmosphere coupling and some intriguing commonalities. In this ...
Effects of Frozen Soil on Soil Temperature, Spring Infiltration, and Runoff: Results from the PILPS 2(d) Experiment at Valdai, Russia
Publisher: American Meteorological Society
Abstract: The Project for Intercomparison of Land-Surface Parameterization Schemes phase 2(d) experiment at Valdai, Russia, offers a unique opportunity to evaluate land surface schemes, especially snow and frozen soil parameterizations. ...