Please use this identifier to cite or link to this item:
|Title:||RAMI4PILPS: An intercomparison of formulations for the partitioning of solar radiation in land surface models|
|Authors:||WIDLOWSKI Jean-Luc; PINTY Bernard; CLERICI Marco; DAI Yongjiu; DE KAUWE Martin; DE RIDDER Koen; KALLEL Abdelaziz; KOBAYASHI Hideki; LAVERGNE Thomas; NI-MEISTER W.; OLCHEV Alewander; QUAIFE Tristan; WANG Shusen; YANG Wenze; YANG Yan; YUAN Hua|
|Citation:||JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES vol. 116 no. G02019 p. 1-25|
|Publisher:||AMER GEOPHYSICAL UNION|
|Type:||Articles in periodicals and books|
|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:||Sustainable Resources|
Files in This Item:
There are no files associated with this item.
Items in repository are protected by copyright, with all rights reserved, unless otherwise indicated.