Special Issue "Cloud and Precipitation"
A special issue of Atmosphere (ISSN 2073-4433).
Deadline for manuscript submissions: closed (30 June 2014)
Dr. Katja Friedrich
ATOC, University of Colorado, UCB 311, Boulder, CO 80309, USA
Phone: +1 303 492 2041
Fax: +1 303 492 3524
Interests: studying kinematic and microphysical processes in thunderstorms; orographic precipitation; hurricanes and processes relevant for convection initiation
Research related to clouds and precipitation represents one of the most important and scientifically exciting challenges ranging from high-resolution, short-term forecasting and monitoring to global, long-term climate prediction. Clouds and precipitation are important components in the Earth’s energy and water cycle, the Earth’s climate, and climate variability. Monitoring cloud and precipitation evolution in severe weather systems such as hurricanes, thunderstorms, and winter storms has improved public safety. Over the last years, measuring characteristics of cloud and precipitation such as size, height, and depth of clouds, amount and type of precipitation has significantly advanced due to new measuring technologies for in-situ and remote sensing instruments. Global coverage and high-resolution observations have improved our understanding of the formation and evolution of clouds and precipitation systems. It enables us now to better study multi-scale motions, microphysical transformations, and the role of aerosols in cloud and precipitation systems and, therefore, has advanced the accuracy in numerical weather and climate prediction models. Thus, clouds and precipitation are not only fascinating atmospheric phenomena, but the quantitative understanding of the physical processes that lead to their formation, growth, and decay is essential to improve short- and long-term forecasting. Although much has been learned about clouds and precipitation in recent years, many research questions remain unanswered and the ability to predict its location and intensity with the desired accuracy remains elusive.
Manuscripts on all aspects of clouds and precipitation are welcome for this special issue.
Dr. Katja Friedrich
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. Atmosphere is an international peer-reviewed Open Access quarterly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 500 CHF (Swiss Francs). English correction and/or formatting fees of 250 CHF (Swiss Francs) will be charged in certain cases for those articles accepted for publication that require extensive additional formatting and/or English corrections.
- severe weather
- process understanding
- quantitative precipitation estimation
- global and regional hydrological cycle
- remote sensing and in-situ observations
- role of aerosols
- numerical weather forecasting
- regional and global climate modeling
Article: A Comparative Study of B-, Γ- and Log-Normal Distributions in a Three-Moment Parameterization for Drop Sedimentation
Atmosphere 2014, 5(3), 484-517; doi:10.3390/atmos5030484
Received: 14 April 2014; in revised form: 23 June 2014 / Accepted: 3 July 2014 / Published: 24 July 2014| PDF Full-text (1537 KB)
Article: Performance of Using Cascade Forward Back Propagation Neural Networks for Estimating Rain Parameters with Rain Drop Size Distribution
Atmosphere 2014, 5(2), 454-472; doi:10.3390/atmos5020454
Received: 27 December 2013; in revised form: 22 May 2014 / Accepted: 27 May 2014 / Published: 18 June 2014| PDF Full-text (965 KB) | HTML Full-text | XML Full-text
Article: Patterns of Precipitation and Convection Occurrence over the Mediterranean Basin Derived from a Decade of Microwave Satellite Observations
Atmosphere 2014, 5(2), 370-398; doi:10.3390/atmos5020370
Received: 13 January 2014; in revised form: 8 April 2014 / Accepted: 22 April 2014 / Published: 30 May 2014| PDF Full-text (11099 KB) | HTML Full-text | XML Full-text
Article: Analysis and Application of the Relationship between Cumulonimbus (Cb) Cloud Features and Precipitation Based on FY-2C Image
Atmosphere 2014, 5(2), 211-229; doi:10.3390/atmos5020211
Received: 29 December 2013; in revised form: 25 March 2014 / Accepted: 28 March 2014 / Published: 14 April 2014| PDF Full-text (2528 KB) | HTML Full-text | XML Full-text
Communication: Variance of Fluctuating Radar Echoes from Thermal Noise and Randomly Distributed Scatterers
Atmosphere 2014, 5(1), 92-100; doi:10.3390/atmos5010092
Received: 12 December 2013; in revised form: 23 January 2014 / Accepted: 29 January 2014 / Published: 20 February 2014| PDF Full-text (344 KB) | HTML Full-text | XML Full-text
Article: Diurnal Variation of Rainfall Associated with Tropical Depression in South China and its Relationship to Land-Sea Contrast and Topography
Atmosphere 2014, 5(1), 16-44; doi:10.3390/atmos5010016
Received: 8 October 2013; in revised form: 16 December 2013 / Accepted: 17 December 2013 / Published: 27 December 2013| PDF Full-text (3926 KB) | HTML Full-text | XML Full-text
Last update: 18 February 2014