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A Multi Linear Regression Model to Derive Dust PM10 in the Sahel Using AERONET Aerosol Optical Depth and CALIOP Aerosol Layer Products
2020
Remote Sensing
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We propose a new method to retrieve PM10 dust surface concentrations from sun photometer aerosol optical depth (AOD) and CALIPSO/CALIOP Level 2 aerosol layer products. ...
The method is based on a multi linear regression model that is trained using co-located PM10, AERONET and CALIOP observations at 3 different locations in the Sahel. ...
observatories in Africa and providing the PM10 and aerosol optical depth, respectively. ...
doi:10.3390/rs12183099
doaj:21f34ca1aab344758a5c3e8774f47782
fatcat:h4w5opdw2zflvil2mjjcj3vb6a
Current State of the global operational aerosol multi‐model ensemble: an update from the International Cooperative for Aerosol Prediction (ICAP)
2019
Quarterly Journal of the Royal Meteorological Society
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Evaluated with ground-based Aerosol Robotic Network (AERONET) aerosol optical depth (AOD) and data assimilation quality MODerate-resolution Imaging Spectroradiometer (MODIS) retrieval products, the ICAP-MME ...
Since the first International Cooperative for Aerosol Prediction (ICAP) multi-model ensemble (MME) study, the number of ICAP global operational aerosol models has increased from five to nine. ...
Since 2012, the system has contributed with global mineral dust and sea-salt aerosol forecasts to the multi-model ensemble of ICAP at a resolution of 1.4 • × 1 • on 24 hybrid sigma-pressure levels. ...
doi:10.1002/qj.3497
pmid:31787783
pmcid:PMC6876662
fatcat:rkyzy77z2fh5vkitxaayml7bdq
Operational Dust Prediction
[chapter]
2014
Mineral Dust
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Dust prediction in numerical weather prediction-type models faces a number of 223 224 A. Benedetti et al. challenges owing to the complexity of the system. ...
The various models are introduced and described along with an overview on the importance of dust prediction activities and a historical perspective. ...
The WMO SDS-WAS Dust Model Evaluation Initiative For the evaluation of the WMO SDS-WAS multi-model ensemble, the dust optical depth (DOD) forecast by the models is first drawn together with the AERONET ...
doi:10.1007/978-94-017-8978-3_10
fatcat:m2kmyddk4zg75id34yjqzdgcim