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2022 ◽  
Author(s):  
Edward Hindman ◽  
Scott Lindstrom

Abstract. Mt. Everest’s summit pyramid is the highest obstacle on earth to the wintertime jet-stream winds. Downwind, in its wake, a visible plume often forms. The meteorology and composition of the plume are unknown. Accordingly, we observed real-time images from a geosynchronous meteorological satellite from November 2020 through March 2021 to identify plumes and collect the corresponding meteorological data. We used the data with a basic meteorological model to show the plumes formed when sufficiently moist air was drawn into the wake. We conclude the plumes were composed initially of either cloud droplets or ice particles depending on the temperature. One plume was observed to glaciate downwind. Thus, Everest plumes may be a source of snowfall formed insitu. The plumes, however, were not composed of resuspended snow.


2022 ◽  
Vol 74 (1) ◽  
Author(s):  
Satoshi Ishii ◽  
Yoshihiro Tomikawa ◽  
Masahiro Okuda ◽  
Hidehiko Suzuki

AbstractImaging observations of OH airglow were performed at Meiji University, Japan (35.6° N, 139.5° E), from May 2018 to December 2019. Mountainous areas are located to the west of the imager, and westerly winds are dominant in the lower atmosphere throughout the year. Mountain waves (MWs) are generated and occasionally propagate to the upper atmosphere. However, only four likely MW events were identified, which are considerably fewer than expected. There are two possible reasons for the low incidence: (1) MWs do not propagate easily to the upper mesosphere due to background wind conditions, and/or (2) the frequency of MW excitation was low around the observation site. Former possibility is found not to be a main reason to explain the frequency by assuming typical wind profiles in troposphere and upper mesosphere over Japan. Thus, frequency and spatial distribution of orographic wavy clouds were investigated by analyzing images taken by the Himawari-8 geostationary meteorological satellite in 2018. The number of days when wavy clouds were detected in the troposphere around the observation site (Kanto area) was about a quarter of that around the Tohoku area. This result indicates that frequency of over-mountain flow which is thought to be a source of excitation of MWs is low in Kanto area. We also found that the angle between the horizontal wind direction in troposphere and the orientation of the mountain ridge is a good proxy for the occurrence of orographic wavy clouds, i.e., excitation of MWs. We applied this proxy to the topography around the world to investigate regions where MWs are likely to be excited frequently throughout the year to discuss the likelihood of "MW hotspots" at various spatial scale. Graphical Abstract


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 42 (2) ◽  
pp. 187-194
Author(s):  
D. S. UPADHYAY ◽  
D. K. MISHRA ◽  
A. P. JOHRI ◽  
A. K. SRIVASTAVA

This paper aims at evolving a conceptual technique for the computation of water yield from the basin snow cover. It may serve as a useful information to compute the snowmelt driven run-off particularly in the lean summer season. For this purpose, the measurement of snow cover area in catchment of Satluj river using very high resolution imagery received from the meteorological satellite NOAA-9 was undertaken on selected dates during the periods, (i) October 1985 to May 1986, and (ii) January to June 1987. The computed snowmelt water yield have been compared with the available actual run-off data. The study shows that the satellite derived snow cover data are potentially useful in predicting the snowmelt run-off. The importance of this technique is further enhanced for the large watersheds over Himalayas where ground based measurements are too scanty.


2021 ◽  
Vol 14 (1) ◽  
pp. 104 ◽  
Author(s):  
Zhanjie Wang ◽  
Jianghua Zhao ◽  
Ran Zhang ◽  
Zheng Li ◽  
Qinghui Lin ◽  
...  

Cloud recognition is a basic task in ground meteorological observation. It is of great significance to accurately identify cloud types from long-time-series satellite cloud images for improving the reliability and accuracy of weather forecasting. However, different from ground-based cloud images with a small observation range and easy operation, satellite cloud images have a wider cloud coverage area and contain more surface features. Hence, it is difficult to effectively extract the structural shape, area size, contour shape, hue, shadow and texture of clouds through traditional deep learning methods. In order to analyze the regional cloud type characteristics effectively, we construct a China region meteorological satellite cloud image dataset named CRMSCD, which consists of nine cloud types and the clear sky (cloudless). In this paper, we propose a novel neural network model, UATNet, which can realize the pixel-level classification of meteorological satellite cloud images. Our model efficiently integrates the spatial and multi-channel information of clouds. Specifically, several transformer blocks with modified self-attention computation (swin transformer blocks) and patch merging operations are used to build a hierarchical transformer, and spatial displacement is introduced to construct long-distance cross-window connections. In addition, we introduce a Channel Cross fusion with Transformer (CCT) to guide the multi-scale channel fusion, and design an Attention-based Squeeze and Excitation (ASE) to effectively connect the fused multi-scale channel information to the decoder features. The experimental results demonstrate that the proposed model achieved 82.33% PA, 67.79% MPA, 54.51% MIoU and 70.96% FWIoU on CRMSCD. Compared with the existing models, our method produces more precise segmentation performance, which demonstrates its superiority on meteorological satellite cloud recognition tasks.


MAUSAM ◽  
2021 ◽  
Vol 50 (2) ◽  
pp. 177-180
Author(s):  
C. M. MUKAMMEL WARID ◽  
Md. REZAUR RAHMAN ◽  
Md. NAZRUL ISLAM

Multi-cell and single-cell clouds were analysed using Geostationary Meteorological Satellite (GMS-5) data on 6 and 13 August 1997 in and around Bangladesh. The multi-cell cloud moved NE with a speed of about 6 m/s and lasted approximately 21 hours. The single-cell cloud moved SE with a speed of about 13 m/s and lasted approximately 12 hours. Clouds move faster on oceans than on land. At the mature stage of the cloud, convective component was 40% and the rest was stratiform. The precipitable portion of the cloud was 74% and the rest was non-precipitable which differs from the reported value.


2021 ◽  
Vol 13 (24) ◽  
pp. 5004
Author(s):  
Tilottama Ghosh ◽  
Kimberly E. Baugh ◽  
Christopher D. Elvidge ◽  
Mikhail Zhizhin ◽  
Alexey Poyda ◽  
...  

Data collected by the Defense Meteorological Satellite Program’s Operational Linescan System (DMSP-OLS) sensors have been archived and processed by the Earth Observation Group (EOG) at the National Oceanic and Atmospheric Administration (NOAA) to make global maps of nighttime images since 1994. Over the years, the EOG has developed automatic algorithms to make Stable Lights composites from the OLS visible band data by removing the transient lights from fires and fishing boats. The ephemeral lights are removed based on their high brightness and short duration. However, the six original satellites collecting DMSP data gradually shifted from day/night orbit to dawn/dusk orbit, which is to an earlier overpass time. At the beginning of 2014, the F18 satellite was no longer collecting usable nighttime data, and the focus had shifted to processing global nighttime images from Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB) data. Nevertheless, it was soon discovered that the F15 and F16 satellites had started collecting pre-dawn nighttime data from 2012 onwards. Therefore, the established algorithms of the previous years were extended to process OLS data from 2013 onwards. Moreover, the existence of nighttime data from three overpass times for the year 2013–DMSP satellites F18 and F15 from early evening and pre-dawn, respectively, and the VIIRS from after midnight, made it possible to intercalibrate the images of three different overpass times and study the diurnal pattern of nighttime lights.


MAUSAM ◽  
2021 ◽  
Vol 58 (2) ◽  
pp. 251-260
Author(s):  
JAGADISH SINGH ◽  
R. K. GIRI ◽  
SURYA KANT

The intense, long-spell and synoptic scale fog over north India has been studied using Very High Resolution Radiometer (V.H.R.R.) visible imageries of INSAT-1D and Kalpana Geo-Stationary satellites. The intensity, coverage and characteristics of fog seen in satellite imageries are found to be in conformity with the ground –based surface meteorological observations. The unusually long spell fog formations have been explained using maximum temperature and relative humidity anomalies of I.G.I Airport, New Delhi, Amousi Airport, Lucknow, Babatpur Airport, Varanasi and Rajasansi Airport, Amritsar. Atmospheric stability of very high order was seen in the lower part of the atmosphere at Delhi creating favourable condition for the formation of intense and long-spell fog. The relation between Wetness Index derived based on Basist study (1998) using 19, 37 and 85 GHz frequency channels of Special Sensor Microwave/Imager (SSM/I) onboard Defense Meteorological Satellite Programme (DMSP) satellite and fog duration were studied.  


2021 ◽  
Author(s):  
Yungang Wang ◽  
Liping Fu ◽  
Fang Jiang ◽  
Xiuqing Hu ◽  
Chengbao Liu ◽  
...  

Abstract. The Ionospheric Photometer (IPM) is carried on the Feng Yun 3D (FY3D) meteorological satellite, which allows for the measurement of far-ultraviolet (FUV) airglow radiation in the thermosphere. IPM is a compact and high-sensitivity nadir-viewing FUV remote sensing instrument. It monitors 135.6 nm emission in the night-side thermosphere and 135.6 nm and N2 LBH emissions in the day-side thermosphere that can be used to invert the peak electron density of the F2 layer (NmF2) at night and O / N2 ratio in the daytime, respectively. Preliminary observations show that the IPM could monitor the global structure of the equatorial ionization anomaly (EIA) structure around 2:00 local time using OI 135.6 nm nightglow properly. It could also identify the reduction of O / N2 in the high-latitude region during the geomagnetic storm of Aug. 26, 2018. The IPM derived NmF2 accords well with that observed by 4 ionosonde stations along 120° E with a standard deviation of 26.67 %. Initial results demonstrate that the performance of IPM meets the designed requirement and therefore can be used to study the thermosphere and ionosphere in the future.


2021 ◽  
Vol 13 (19) ◽  
pp. 3831
Author(s):  
Beilei Hu ◽  
Junmin Meng ◽  
Lina Sun ◽  
Hao Zhang

A geostationary meteorological satellite is located at a fixed point above the equator, which can continuously observe internal waves and provides great advantages in research on changes in the generation and propagation of internal waves. The scale of internal waves in the Celebes Sea is large, which is still very obvious in geostationary meteorological satellite images with a lower spatial resolution. This study considers continuous remote sensing images of geostationary meteorological satellite Himawari-8 to analyze the bright and dark features of internal waves in the Celebes Sea in optical remote sensing images. The solar zenith angle, sensor zenith angle and relative azimuth angle of internal waves in six images are calculated, and the changes are 12.45°, 0.20° and 3.44°, respectively, within 50 min. Moreover, based on the normalized sunglint radiance theory, the critical solar viewing angle is proposed and verified. The results indicate that the bright and dark features of internal waves when passing through sunglint and non-sunglint areas are greatly reversed, and the critical solar viewing angles are 18.73° and 27.41°, respectively. In this study, geostationary meteorological satellite Himawari-8 images are analyzed to study on the brightness reversal phenomenon of internal waves for the first time, and a unique brightness change in internal waves during the propagation process is revealed, which has not been reported in existing research.


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