meteorology. Improvements are made to existing schemes for computing biogenic emissions of isoprene and NO. Our best estimates of global emissions include among others 42 Tg N yr-1 for NO x (21 Tg N yr-1 from fossil fuel combustion, 12 Tg N yr-1 from biomass burning, 6 Tg N yr-1 from soils, and 3 Tg N yr-1

acquired are presented. The L-band microwave emission of the biosphere (L-MEB) model that is also used in the SMOS L2 soil moisture algorithm is used to simulate the microwave emission of a winter oilseed rape field in Puch that was also observed by the radiometer. As there is a lack of a rape

HTSVS, which takes into account among other things soil freezing and thawing. Reanalysis of temperature, wind vector, specific humidity and observations of precipitation were used to evaluate the importance of the soil-frost parameterization on the forecast for an episode in summer. R.m.s. errors

Abstract: The SMOS satellite mission, launched in 2009, allows global soil moisture estimations to be made using the L-band Microwave Emission of the Biosphere (L-MEB) model, which simulates the L-band microwave emissions produced by the soil–vegetation layer. This model was calibrated using

for reporting of greenhouse gas emissions from peatlands will be valuable in the context of the current negotiations towards a post-2012 climate agreement. This article evaluates IPCC approaches to greenhouse gas emissions from managed organic (peat) soils and presents a summary

Modeles de Pollution atmospherique et de Transport d’Emissions), a 4-day intensive observation period was selected to evaluate the Advanced Regional Prediction System (ARPS), a nonhydrostatic meteorological mesoscale model that was optimized with a parameterization for thermal roughness length

Abstract. Biogenic NO emissions from soils (SNOx) play important direct and indirect roles in tropospheric chemistry. The most widely applied algorithm to calculate SNOx in global models was published 15 years ago by Yienger and Levy (1995), and was based on very few measurements. Since then

Abstract Formulation of the dust emission scheme in the global aerosol-climate modeling system ECHAM5-HAM has been improved. Modifications on the surface aerodynamic roughness length, soil moisture and East-Asian soil properties are included in the parameterization, which result in a large impact

meteorological model, Mesoscale Metorological Model Version 5 (MM5), coupled with the CALMET/ CALGRID Eularian modeling pair and a new dust emission module (EMIT-PM). Improvements to the modeling system included employing higher spatial resolutions for the meteorological models and improved parameterizations

prediction. This study evaluates the sensitivity of the b-factor, which is function of vegetation type. The analysis is carried out using Passive and Active L and S-band airborne sensor (PALS) and measured field soil moisture from Southern Great Plains experiment (SGP99). The results show that the relative