Title: RAMI4PILPS: An intercomparison of formulations for the partitioning of solar radiation in land surface models
Authors: WIDLOWSKI Jean-LucPINTY BernardCLERICI MarcoDAI YongjiuDE KAUWE MartinDE RIDDER KoenKALLEL AbdelazizKOBAYASHI HidekiLAVERGNE ThomasNI-MEISTER W.OLCHEV AlewanderQUAIFE TristanWANG ShusenYANG WenzeYANG YanYUAN Hua
Citation: JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES vol. 116 no. G02019 p. 1-25
Publisher: AMER GEOPHYSICAL UNION
Publication Year: 2011
JRC Publication N°: JRC62931
ISSN: 0148-0227
URI: http://www.agu.org/pubs/crossref/2011/2010JG001511.shtml
http://publications.jrc.ec.europa.eu/repository/handle/JRC62931
DOI: 10.1029/2010JG001511
Type: Articles in Journals
Abstract: Remotely-sensed, multi-annual datasets of shortwave radiative surface fluxes are now available for assimilation into Land Surface Schemes (LSS) of climate and/or numerical weather prediction models. The RAMI4PILPS suite of virtual experiments assesses the accuracy and consistency of the radiative transfer (RT) formulations that provide the magnitudes of absorbed, reflected and transmitted shortwave radiative fluxes in LSSs. RAMI4PILPS evaluates models under perfectly controlled experimental conditions in order to eliminate uncertainties arising from an incomplete or erroneous knowledge of the structural, spectral and illumination related canopy characteristics. More specifically, the shortwave radiation is separated into a visible and near-infrared spectral regions and the quality of the simulated radiative fluxes is evaluated by direct comparison with a 3-D Monte Carle reference model identified during the third phase of the RAdiation transfer Model Intercomparison (RAMI) exercise. The RAMI4PILPS setup thus allows to focus in particular on the numerical accuracy of shortwave radiative transfer formulations and to pinpoint to areas where future model improvements should be focused. The impact of increasing degrees of structural and spectral sub-grid variability on the simulated fluxes is documented and the relevance of any thus emerging biases with respect to gross primary production (GPP) estimates and shortwave radiative forcings due to snow and fire events are investigated.
JRC Institute:Institute for Environment and Sustainability

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