Next Article in Journal
Machine Learning Using Hyperspectral Data Inaccurately Predicts Plant Traits Under Spatial Dependency
Next Article in Special Issue
Fundamental Climate Data Records of Microwave Brightness Temperatures
Previous Article in Journal
Measurement of Planetary Boundary Layer Winds with Scanning Doppler Lidar
Previous Article in Special Issue
Quality Assurance Framework Development Based on Six New ECV Data Products to Enhance User Confidence for Climate Applications
Article Menu
Issue 8 (August) cover image

Export Article

Open AccessArticle
Remote Sens. 2018, 10(8), 1262; https://doi.org/10.3390/rs10081262

Land Surface Albedo Derived on a Ten Daily Basis from Meteosat Second Generation Observations: The NRT and Climate Data Record Collections from the EUMETSAT LSA SAF

1
CNRM, Université de Toulouse, Météo-France, CNRS. 42, Avenue Gaspard Coriolis, 31057 Toulouse, France
2
Instituto Portugues do Mar e da Atmosfera (IPMA), Rua C do Aeroporto, 1749-077 Lisbon, Portugal
*
Author to whom correspondence should be addressed.
Received: 21 June 2018 / Revised: 26 July 2018 / Accepted: 31 July 2018 / Published: 10 August 2018
(This article belongs to the Special Issue Remote Sensing of Essential Climate Variables and Their Applications)
Full-Text   |   PDF [7932 KB, uploaded 10 September 2018]   |  

Abstract

Land surface albedo determines the splitting of downwelling solar radiation into components which are either reflected back to the atmosphere or absorbed by the surface. Land surface albedo is an important variable for the climate community, and therefore was defined by the Global Climate Observing System (GCOS) as an Essential Climate Variable (ECV). Within the scope of the Satellite Application Facility for Land Surface Analysis (LSA SAF) of EUMETSAT (European Organization for the Exploitation of Meteorological Satellites), a near-real time (NRT) daily albedo product was developed in the last decade from observations provided by the Spinning Enhanced Visible and Infrared Imager (SEVIRI) instrument on board the geostationary satellites of the Meteosat Second Generation (MSG) series. In this study we present a new collection of albedo satellite products based on the same satellite data. The MSG Ten-day Albedo (MTAL) product incorporates MSG observations over 31 days with a frequency of NRT production of 10 days. The MTAL collection is more dedicated to climate analysis studies compared to the daily albedo that was initially designed for the weather prediction community. For this reason, a homogeneous reprocessing of MTAL was done in 2018 to generate a climate data record (CDR). The resulting product is called MTAL-R and has been made available to the community in addition to the NRT version of the MTAL product which has been available for several years. The retrieval algorithm behind the MTAL products comprises three distinct modules: One for atmospheric correction, one for daily inversion of a semi-empirical model of the bidirectional reflectance distribution function, and one for monthly composition, that also determines surface albedo values. In this study the MTAL-R CDR is compared to ground surface measurements and concomitant albedo products collected by sensors on-board polar-orbiting satellites (SPOT-VGT and MODIS). We show that MTAL-R meets the quality requirements if MODIS or SPOT-VGT are considered as reference. This work leads to 14 years of production of geostationary land surface albedo products with a guaranteed continuity in the LSA SAF for the future years with the forthcoming third generation of European geostationary satellites. View Full-Text
Keywords: surface albedo; remote sensing; geostationary satellites; meteorological; MSG; climate data records; essential climate variables; near real-time; climate; land surface modeling surface albedo; remote sensing; geostationary satellites; meteorological; MSG; climate data records; essential climate variables; near real-time; climate; land surface modeling
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Carrer, D.; Moparthy, S.; Lellouch, G.; Ceamanos, X.; Pinault, F.; Freitas, S.C.; Trigo, I.F. Land Surface Albedo Derived on a Ten Daily Basis from Meteosat Second Generation Observations: The NRT and Climate Data Record Collections from the EUMETSAT LSA SAF. Remote Sens. 2018, 10, 1262.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top