satellite meteorology
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MAUSAM ◽  
2022 ◽  
Vol 64 (1) ◽  
pp. 97-104
Author(s):  
R.C. BHATIA ◽  
A.K. SHARMA

fiNys pkj n’kdksa ls m".kdfVca/kh; pØokrksa ¼Vh-lh-½ ds egRoiw.kZ izs{k.k miyC/k djkus esa ekSle foKkfud mixzgksa dh {kerkvksa ls lHkh ifjfpr gSA Hkw&LFkSfrd ekSle foKkfud mixzgksa ls izkIr n`’;] vojDr vkSj ty ok"i pSuyksa ls i`Foh ds es?kkPNknu ds yxkrkj  izkIr gksus okys fp= vkSj bu vk¡dM+ksa ls ek=kRed mRiknksa dks rS;kj djus dh {kerk lcls egRoiw.kZ gSA ekSle foKkfud mixzg v/;;u lgdkjh laLFkku           ¼lh-vkbZ-,e-,l-,l-½ foLdkasflu ;wfuoflZVh] ;w-,l-,- esa fiNys dqN o"kksZa esa fd, x, vuqla/kku ,oa fodkl iz;klksa ls m".kdfVca/kh; pØokrksa ds Lopkfyr fo’ys"k.k ds fy, ,d mUur M~oksjd rduhd ¼,-Mh-Vh-½ dk fodkl fd;k x;k gSA mRrjh vVykafVd vkSj dSfjfc;u lkxj esa vkus okys pØokrksa ds fo’ys"k.k ds fy, bl rduhd dk izpkyukRed mi;ksx fd;k tk jgk gSA tcfd Hkkjrh; leqnzksa esa ijEijkxr M~oksjd rduhd          ¼Mh-Vh-½ csgrj dk;Z djrh gS rFkkfi gekjs {ks= esa bl le; izpkyukRed vk/kkj  ij ,-Mh-,- dk mi;ksx bruk dkjxj ugha gSA   lh-vkbZ-,e-,l-,l- esa fiNys dqN o"kksaZ esa vuqla/kku ,oa fodkl iz;klksa ls mixzg ds vk¡dM+ksa ls izkIr fd, x, ek=kRed mRiknksa esa Hkh dkQh lq/kkj gqvk gSA bu mRiknksa esa fuf’pr :i esa m".kdfVca/kh; pØokrksa ds fo’ys"k.k esa lq/kkj vk;k gS vkSj ;s m".kdfVca/kh; pØokrksa dh Hkkoh xfr fn’kk dk iwokZuqeku djus ds fy, egRoiw.kZ lwpuk miyC/k djkrs gaSA Hkkjrh; mixzgksa ds vk¡dM+ksa ls orZeku esa izpkyukRed mRiknksa dh xq.koRrk midj.kksa ds vifj"—r foHksnu ij vk/kkfjr gSA vxys o"kZ ¼2013½ ls bulSV Ja[kyk ds u, mixzg ls vf/kd csgrj xq.koRrk ds vk¡dM+sa miyC/k gksus ls mRiknksa dh xq.koRrk esa vkSj vf/kd lq/kkj vkus dh vPNh laHkkouk gSA lw{e rajx vk/kkfjr midj.kksa ls izkIr vk¡dMsa+  Hkh m".kdfVca/kh; pØokr ds fo’ys"k.k ds fy, vfrfjDr mi;ksxh lwpuk miyC/k djkrs gSaA Åijh {kksHkeaMy esa m".k dksj folaxfr m".kdfVca/kh; pØokr dh rhozrk dk mi;ksxh lwpd gSA Capabilities of meteorological satellites to provide vital observations on Tropical Cyclones (TC) are well known since more than last four decades. Most important are the frequent pictures of earth’s cloud cover in the visible, IR and water vapour channels obtained from Geostationary meteorological satellites together with the capability of generating a number of quantitative products from these data. R&D efforts of last several years at the Cooperative Institute of Meteorological Satellite Studies (CIMSS), Wisconsin University, USA have culminated into development of an Advanced Dvorak’s Technique (ADT) for automatic analysis of Tropical Cyclones. It is in operational use for analysis of North Atlantic and Caribbean Sea cyclones. It has been used on experimental basis at Satellite Meteorology Center, IMD while the conventional Dvorak Technique (DT) works well over the Indian seas, experience of using ADT does not permit at present its use on operational basis over our region. R&D efforts of last several years at CIMSS have also resulted in lot of improvements in the Quantitative products derived from the satellite data. These products have certainly improved the analysis of TC and have provided useful information for predicting the future intensity/movement of TCs. Quality of currently operational products from Indian satellite data is limited by the coarser resolution of the instruments. With the availability of much better quality of data from the new satellite of INSAT series from year (2013) onward there is a good possibility of making further improvements in the quality of products. Data obtained from microwave based instruments also provides useful additional information for TC analysis. The warm core anomaly in the upper troposphere is a useful indicator of the TC intensity.


MAUSAM ◽  
2021 ◽  
Vol 62 (4) ◽  
pp. 617-626
Author(s):  
A.K. SHARMA

The present paper is an attempt to educate the weather forecaster at Indian Scientific research Station, Maitri, Antarctica in forecasting severe weather (blizzards) using satellite images of various satellites operating in the world. The Polar stationary satellite ‘Trianna’ has been discussed .The availability of the various types of images has also been spelt. The characteristics of satellite images has been described along with overlaying of Automatic Weather station (AWS) data explaining the occurrence of Katabatic winds which also causes blizzards. Blizzard conditions often develop on the northwest side of an intense storm system the difference between the lower pressure in the storm and the higher pressure to the west creates a tight pressure gradient, which in turn results in very strong winds or blizzards. The paper also discusses about the development that took place in Antarctic satellite meteorology since beginning.


2020 ◽  
pp. 121-132
Author(s):  
Jordan J. Gerth ◽  
Raymond K. Garcia ◽  
David J. Hoese ◽  
Scott S. Lindstrom ◽  
Timothy J. Schmit

The Satellite Information Familiarization Tool (SIFT) is an open-source, multi-platform graphical user interface designed to easily display spectral and temporal sequences of geostationary satellite imagery. The Advanced Baseline Imager (ABI) and Advanced Himawari Imager (AHI) on the “new generation” of geostationary satellites collect imagery with a spatial resolution four times greater than previously available. Combined with the increased number of spectral bands and more frequent imaging, the new series imagers collect approximately 60 times more data. Given the resulting large file sizes, the development of SIFT is a multiyear effort to make those satellite imagery data files accessible to the broad community of students, scientists, and operational meteorologists. To achieve the objective of releasing software that provides an intuitive user experience to complement optimum performance on consumer-grade computers, SIFT was built to leverage modern graphics processing units (GPUs) through existing open-source Python packages, and runs on the three major operating systems: Windows, Mac, and Linux. The United States National Weather Service funded the development of SIFT to help enhance the satellite meteorology acumen of their operational meteorologists. SIFT has basic image visualization capabilities and enables the fluid animation and interrogation of satellite images, creation of Red-Green-Blue (RGB) composites and algebraic combinations of multiple spectral bands, and comparison of imagery with numerical weather prediction output. Open for community development, SIFT users and features continue to grow. SIFT is freely available with short tutorials and a user guide online. The mandate for the software, its development, realized applications, and envisioned role in science and training are explained.


2020 ◽  
Vol 3 (3) ◽  
pp. 1
Author(s):  
Xiehui Li ◽  
Lei Wang

Based on the existing disadvantages of traditional teaching mode of Satellite Meteorology course in Chengdu University of Information Technology and the new teaching mode overview of “Internet Plus flipped class”, this paper is mainly to construct flipped class teaching mode of Satellite Meteorology under the background of “Internet Plus” in Chengdu University of Information Technology. Through the Internet, it also tries to integrate this teaching mode into flipped class before class, in class, after class, which means to provide a new thought for the teaching of this course in colleges and universities.


2019 ◽  
Vol 8 (7) ◽  
pp. 311 ◽  
Author(s):  
Patrick Dills ◽  
Amy Stevermer ◽  
Tony Mancus ◽  
Bryan Guarente ◽  
Tim Alberta ◽  
...  

Since 1989, the COMET<sup>&#xAE;</sup> Program&#x2019;s staff of instructional designers, scientists, graphic artists, and web developers has been creating targeted, effective, and scientifically sound instructional materials for the geosciences in multiple languages and formats. The majority of COMET training materials and services are available via COMET&#x2019;s online training portal, MetEd. MetEd hosts over 500 self-paced English-language lessons, which are freely available to registered users. The lessons cover a broad array of topics, including satellite meteorology, numerical weather prediction, hydrometeorology, oceanography, aviation weather, climate science, and decision support. Nearly 300 lessons have been translated to other languages. NOAA NESDIS, EUMETSAT, the Meteorological Service of Canada, and the US National Weather Service all provide funding and subject matter expertise for satellite training efforts at COMET. The COMET team is focused on helping our sponsors refine their learning objectives and produce instructional material that is focused on learner engagement, knowledge retention, and measurable performance improvement. The COMET Program has continually transformed its instructional approach to better meet the shifting needs of learners. Our satellite remote sensing educational and training materials provide sound foundational knowledge for existing and new satellite products paired with increasing opportunities to apply that knowledge.


2019 ◽  
Vol 100 (4) ◽  
pp. 589-604
Author(s):  
Brian Billings ◽  
Stephen A. Cohn ◽  
Rodney J. Kubesh ◽  
William O. J. Brown

Abstract The best way to train the next wave of observational talent is through direct experience. In 2012 and again in 2014, students at St. Cloud State University (SCSU) welcomed deployments of professional atmospheric research equipment, allowing them to support and execute field projects. The Boundary Structure Experiments with Central Minnesota Profiling (BaSE CaMP) projects brought the Mobile Integrated Sounding System (MISS) from the National Center for Atmospheric Research’s (NCAR) Earth Observing Laboratory (EOL) to SCSU for a National Science Foundation–funded educational deployment. Its diverse instrumentation and ability to travel to interesting weather events and locations makes MISS extremely valuable for teaching students about both weather experiments and measurement strategies. In addition to the university project, outreach activities with MISS took place at high schools, regional conferences, and public events. MISS carries four instruments: a boundary layer wind profiler, a radio acoustic sounding system (RASS), radiosondes, and an instrumented 10-m tower. The type and time of MISS deployments were quite varied so students could participate around their class schedule, jobs, and other commitments. Each year the project had periods of fixed operations and mobile activity, where MISS was relocated to best observe current weather conditions. BaSE CaMP operations and results were incorporated into many classes in the meteorology program at SCSU. The original course request was for Radar and Satellite Meteorology, but other activities contributed to Atmospheric Dynamics, Physical Meteorology, and Meteorological Analysis Software courses.


2019 ◽  
Vol 59 ◽  
pp. 4.1-4.53 ◽  
Author(s):  
S. A. Ackerman ◽  
S. Platnick ◽  
P. K. Bhartia ◽  
B. Duncan ◽  
T. L’Ecuyer ◽  
...  

Abstract Satellite meteorology is a relatively new branch of the atmospheric sciences. The field emerged in the late 1950s during the Cold War and built on the advances in rocketry after World War II. In less than 70 years, satellite observations have transformed the way scientists observe and study Earth. This paper discusses some of the key advances in our understanding of the energy and water cycles, weather forecasting, and atmospheric composition enabled by satellite observations. While progress truly has been an international achievement, in accord with a monograph observing the centennial of the American Meteorological Society, as well as limited space, the emphasis of this chapter is on the U.S. satellite effort.


2017 ◽  
Vol 98 (7) ◽  
pp. 1471-1484 ◽  
Author(s):  
Paul Poli ◽  
Dick P. Dee ◽  
Roger Saunders ◽  
Viju O. John ◽  
Peter Rayer ◽  
...  

Abstract To better understand the impacts of climate change, environmental monitoring capabilities must be enhanced by deploying additional and more accurate satellite- and ground-based (including in situ) sensors. In addition, reanalysis of observations collected decades ago but long forgotten can unlock precious information about the recent past. Historical, in situ observations mainly cover densely inhabited areas and frequently traveled routes. In contrast, large selections of early meteorological satellite data, waiting to be exploited today, provide information about remote areas unavailable from any other source. When initially collected, these satellite data posed great challenges to transmission and archiving facilities. As a result, data access was limited to the main teams of scientific investigators associated with the instruments. As archive media have aged, so have the mission scientists and other pioneers of satellite meteorology, who sometimes retired in possession of unique and unpublished information. This paper presents examples of recently recovered satellite data records, including satellite imagery, early infrared hyperspectral soundings, and early microwave humidity soundings. Their value for climate applications today can be realized using methods and techniques that were not yet available when the data were first collected, including efficient and accurate observation simulators and data assimilation into reanalyses. Modern technical infrastructure allows serving entire mission datasets online, enabling easy access and exploration by a broad range of users, including new and old generations of climate scientists.


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