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Special Issue "Remote Sensing of Precipitation: Part II"
Deadline for manuscript submissions: 30 September 2020.
Precipitation is a well-recognized pillar in the global water and energy balances. The accurate and timely understanding of its characteristics at the global, regional and local scales is indispensable for a clearer insight on the mechanisms underlying the Earth’s atmosphere-ocean complex system. Precipitation is one of the elements that is documented to be greatly affected by climate change.
In its various forms, precipitation comprises the primary source of freshwater which is vital for the sustainability of almost all human activities. Its socio-economic significance is fundamental in managing this natural resource effectively in applications ranging from irrigation to industrial and household usage.
Remote sensing of precipitation is pursued through a broad spectrum of continuously enriched and upgraded instrumentation, embracing sensors which can be ground-based (e.g., weather radars), satellite-borne (e.g., passive or active space-borne sensors), underwater (e.g., hydrophones), aerial, or ship-borne.
This Special Issue will host papers on all aspects of remote sensing of precipitation, including applications which embrace the use of remote sensing techniques of precipitation in tackling issues such as precipitation estimations and retrievals along with their methodologies and corresponding error assessment, precipitation modelling including validation, instrument comparison and calibration, understanding of cloud microphysical properties, precipitation downscaling, precipitation droplet size distribution, assimilation of remotely sensed precipitation into numerical weather prediction models, measurement of precipitable water vapor, etc. Also, papers on new technological advances as well as campaigns and missions on precipitation remote sensing (e.g., TRMM, GPM) are welcome.
Dr. Silas Michaelides
Manuscript Submission Information
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. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short 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 thoroughly refereed through a single-blind 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 semimonthly 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 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Weather radar
- Quantitative Precipitation Estimation (QPE)
- Underwater precipitation remote sensing
- Cloud microphysical properties
- TRMM and GPM
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Tentative Title: Assessment of TRMM 3B43 and the Integrated Multisatellite Retrievals for GPM (IMERG) on Various Precipitation Regimes in the Sultanate of Oman
Author: Alaba Boluwade
Affiliation: Department of Soil Water and Agricultural Engineering, College of Agriculture and Marine Science, Sultan 7 Qaboos University, Muscat, Oman
Abstract: This study evaluates the performance of two satellite products: the Tropical Rainfall 11 Measuring Mission (TRMM 3B42V7) and the Integrated Multisatellite Retrievals for GPM (IMERG, late Run) over the Sultanate of Oman. Oman is an arid country with few rainy days, but significant flash floods in recent times, leading to loss of lives and millions of dollars in associated damages. Accurate precipitation analysis is crucial in flood monitoring, hydrologic modeling and water balance of any basin. Lack of a sufficient weather monitoring network is one of the challenges hindering accurate precipitation measurement. Satellite rainfall estimates can be a reliable option in sparse network areas, especially in arid and semi-arid countries. In this study, rainfall amounts from 73 meteorological stations from January 2016 to December 2017 were evaluated. The capability of both satellite products in detecting rainy/non-rainy days at varying precipitation thresholds was also evaluated. Findings from this study include: 1) for the entire country, both of the products compared very well with gauged observation at the monthly, seasonal and annual temporal scales; 2) Across the 13 Governorates of the Sultanate of Oman, both satellite products compared very well with gauged observation on the monthly, seasonal and annual temporal scales; 3) From the precipitation event detection and frequency bias perspective, GPM performed better than TRMM in detecting light precipitation (2 mm) but weak in detecting heavy precipitation events (> 30 mm) across the Northern, Interior and Dhofar regions of the country; 4) Both satellite products underestimated gauged precipitation for heavy precipitation. This study also shows that GPM can be a reliable replacement for TRMM as a precipitation product. Overall, GPM outperformed TRMM in terms of light precipitation detection and heavy precipitation bias reduction. This study will be useful to the country’s effort in flood resilience and mitigation, especially in areas where there are sparse weather monitoring networks.
Keywords: arid country; satellite observation; rainfall pattern, hydrology, flood resilience; GPM, TRMM