Search results

First 1580 results for ” JG Calvert”

1. International Photolysis Frequency Measurement and Model Intercomparison (IPMMI): Spectral actinic solar flux measurements and modeling

   The International Photolysis Frequency Measurement and Model Intercomparison (IPMMI) took place i...

   AF Bais, S Madronich, J Crawford, SR Hall, B Mayer, M van Weele, J Lenoble, JG Calvert, CA Cantrell, RE Shetter, A Hofzumahaus, P Koepke, PS Monks, G Frost, R Mc Kenzie and ................ | Status: published | Journal: J. Geophys. Res. | Volume: 108 | Year: 2003 | First page: 8543 | doi: 10.1029/2002JD002891

   Publication

2. overview of the large-scale biosphere-atmosphere experiment in amazonia data model intercomparison project
   l gustavo de concalves | Status: published | Journal: Agricultural and Forest Meteorology | Volume: 182- | Year: 2013 | First page: 111 | Last page: 127 | doi: doi:10.1016/J.AGRFORMET.2013.04.030

   Publication

3. A maximum entropy approach to the parametrization of subgrid processes in two-dimensional flow

   In numerical models of geophysical fluid systems parametrization schemes are needed to account fo...

   WTM Verkley, PC Kalverla, CA Severijns | Status: published | Journal: Quart. J. Royal Meteor. Soc. | Volume: 142 | Year: 2016 | First page: 2273 | Last page: 2283 | doi: 10.1002/qj.2817

   Publication

4. Overview of the Large-Scale Biosphere-Atmosphere Experiment in Amazônia Data Model Intercomparison Project (LBA-DMIP)

   The sensitivity of key terrestrial biomes to climatic variability and change is a fundamental que...

   L Gustavo de Concalves, et al., BJJM van den Hurk | Status: accepted | Journal: Agricultural and Forest Meteorology | Year: 2013

   Publication

5. Evaluationofthreemainstreamnumericalweatherprediction modelswithobservationsfrommeteorological mastIJmuidenattheNorthSea

   Numerical weather prediction models play an important role in the field of wind energy, for examp...

   PC Kalverla, GJ Steeneveld, RJ Ronda, AAM Holtslag | Status: published | Journal: Wind Energy | Year: 2018 | doi: https://doi.org/10.1002/we.2267

   Publication