Special Issue "Remote Sensing in Climate Monitoring and Analysis"
A special issue of Remote Sensing (ISSN 2072-4292).
Deadline for manuscript submissions: closed (28 February 2011)
Dr. Richard Müller
German Meteorological Service CM-SAF, Frankfurter Straße 135, 63067 Offenbach, Germany
Phone: +49 (0) 69 8062 4922
Fax: +49 (0) 69 8062 4955
Interests: remote sensing of surface radiation; clouds and aerosols; sensor calibration; methods for \"merging\" in-situ data with remote sensing data
Climate monitoring and analysis is an important task in order to improve the understanding of climate dynamics and climate change. This in turn is a pre-requisite for reliable information bulletins on climate change and for the consultation of decision makers and end-users Remote Sensing is becoming more and more important for this issue for different reasons.
- Many regions in the world are characterized by the lack of a dense network of ground based measurements for ECVs.
- Some parameters can only be observed from space, or can be observed with a better accuracy from space (e.t top of atmosphere radiation budget)
- Remote Sensing provides climate variables with a large regional coverage up to global coverage.
- Assimilation of satellite data has largely increased the quality of reanalysis data.
- Satellite derived products have the potential to increase the accuracy of gridded climate data sets gained from dense ground based networks.
This special issue is dedicated to compile articles on:
- climate monitoring and analysis based on satellite derived essential climate variables.
- methods for the retrieval of Essential Climate Variables (ECVs) in climate quality.
- methods for the calibration and inter-calibration of satellite radiances.
- improvements of methods for the assimilation of satellite data within reanalysis.
- methods for data fusion of satellite based variables with reanalysis data and/or in-situ measurements.
- climate applications dealing with satellite based climate variables
Dr. Richard Müller
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. Papers will be published continuously (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are refereed through a peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed Open Access monthly journal published by MDPI.
- radiative transfer
- water energy cycle
- retrieval of the radiation budget
- retrieval of aerosols and cloud properties
- calibration of satellite radiances
- retrieval of essential climate variables
- data assimilation
- data fusion
Article: What Do Observational Datasets Say about Modeled Tropospheric Temperature Trends since 1979?
Remote Sens. 2010, 2(9), 2148-2169; doi:10.3390/rs2092148
Received: 30 July 2010; in revised form: 3 September 2010 / Accepted: 14 September 2010 / Published: 15 September 2010| Download PDF Full-text (396 KB)
Remote Sens. 2010, 2(11), 2561-2570; doi:10.3390/rs2112561
Received: 11 September 2010; in revised form: 22 October 2010 / Accepted: 5 November 2010 / Published: 16 November 2010| Download PDF Full-text (752 KB)
Remote Sens. 2011, 3(2), 203-246; doi:10.3390/rs3020203
Received: 16 November 2010; in revised form: 7 December 2010 / Accepted: 19 January 2011 / Published: 1 February 2011| Download PDF Full-text (3911 KB)
Remote Sens. 2011, 3(2), 343-361; doi:10.3390/rs3020343
Received: 20 December 2010; in revised form: 9 February 2011 / Accepted: 10 February 2011 / Published: 17 February 2011| Download PDF Full-text (543 KB)
Remote Sens. 2011, 3(4), 767-780; doi:10.3390/rs3040767
Received: 1 February 2011; in revised form: 10 March 2011 / Accepted: 16 March 2011 / Published: 11 April 2011| Download PDF Full-text (1993 KB)
Remote Sens. 2011, 3(5), 1006-1013; doi:10.3390/rs3051006
Received: 8 April 2011; in revised form: 6 May 2011 / Accepted: 10 May 2011 / Published: 17 May 2011| Download PDF Full-text (426 KB)
Remote Sens. 2011, 3(5), 1029-1046; doi:10.3390/rs3051029
Received: 1 March 2011; in revised form: 4 May 2011 / Accepted: 5 May 2011 / Published: 20 May 2011| Download PDF Full-text (1042 KB)
Remote Sens. 2011, 3(11), 2305-2320; doi:10.3390/rs3112305
Received: 24 August 2011; in revised form: 13 October 2011 / Accepted: 13 October 2011 / Published: 25 October 2011| Download PDF Full-text (1919 KB)
Last update: 30 December 2010