نتایج جستجو برای: land surface hydrological model
تعداد نتایج: 2723466 فیلتر نتایج به سال:
The long-term goal of this project is to improve the high-resolution model forecasts by developing a real-time globally re-locatable capability to initialize/assimilate the Coupled Ocean/Atmosphere Mesoscale Prediction System (COAMPS) land-surface model soil parameters. The partition of the model surface sensible and latent heat fluxes in the land-surface parameterization is sensitive to the in...
The ever-increasing availability of new remote sensing and land surface model datasets opens new opportunities for hydrologists to improve flood forecasting systems. The current study investigates the performance of two operational soil moisture (SM) products provided by the “EUMETSATSatellite Application Facility in Support of Operational Hydrology and Water Management” (H-SAF, http://hsaf.met...
Aims: The expansion of cities, especially cities that have seen abnormal growth due to economic, social, and political changes, has caused many problems. It has been found that land-use change, especially urbanization, has greatly affected hydrological characteristics. But in most urban designs, flood forecasting is considered through the type of land use (residential, industrial, etc.) and den...
How do the continents affect large-scale hydrological cycles? How important can one continent be to the climate system? To address these questions, five years of National Aeronautics and Space Administration (NASA) Terra Moderate Resolution Imaging Spectroradiometer (MODIS) observations, Tropical Rainfall Measuring Mission (TRMM) observations, and the Global Precipitation Climatology Project (G...
Land-surface modelling in hydrological perspective J. Overgaard, D. Rosbjerg, and M. B. Butts Institute of Environment & Resources, Technical University of Denmark, DK-2800 Kongens Lyngby, Denmark DHI Water & Environment, DK-2970 Hørsholm, Denmark Received: 18 October 2005 – Accepted: 13 November 2005 – Published: 13 December 2005 Correspondence to: J. Overgaard ([email protected]) © 2005 Author(s). T...
In this study data of multifrequency, polarimetric and interferometric airborne “Experimental Synthetic Aperture Radar (E-SAR)” were evaluated and analysed to derive land use information, surface soil moisture, vegetation parameters and topographic information after a standardized processing scheme. The experiments were integrated in two projects of hydrologic and solute transport modelling and...
[1] This study evaluates regional-scale hydrological simulations of the newly developed community Noah land surface model (LSM) with multiparameterization options (Noah-MP). The model is configured for the Mississippi River Basin and driven by the North American Land Data Assimilation System Phase 2 atmospheric forcing at 1/8° resolution. The simulations are compared with various observational ...
Land-surface models (LSMs) are increasingly called upon to represent not only the exchanges of energy, water and momentum across the land–atmosphere interface (their original purpose in climate models), but also how ecosystems and water resources respond to climate, atmospheric environment, land-use and land-use change, and how these responses in turn influence land–atmosphere fluxes of carbon ...
Due to the growing wish and necessity to simulate the possible effects of climate change on the discharge regime on large rivers such as the Rhine in Europe, there is a need for well performing hydrological models that can be applied in climate change scenario studies. There exists large variety in available models and there is an ongoing debate in research on rainfall-runoff modelling on wheth...
[1] Simulating land surface hydrological states and fluxes requires a comprehensive set of atmospheric forcing data at consistent temporal and spatial scales. At the continental-toglobal scale, such data are not available except in weather reanalysis products. Unfortunately, reanalysis products are often biased due to errors in the host weather forecast model. This paper explores whether the er...
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