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Article: Decoding the Karakoram Anomaly

Dimri, A.P

Science of the total environment. 2021 Sept. 20, v. 788

2021

Abstract: The ‘Karakoram Anomaly’ is termed as the stability or anomalous growth of glaciers in the central Karakoram, in contrast to the retreat of glaciers in other nearby mountainous ranges of Himalayas and other mountainous ranges of the world. It remains an ... ...

Abstract	The ‘Karakoram Anomaly’ is termed as the stability or anomalous growth of glaciers in the central Karakoram, in contrast to the retreat of glaciers in other nearby mountainous ranges of Himalayas and other mountainous ranges of the world. It remains an intriguing scientific question to the researchers. An attempt is made to provide mechanisms leading to such a process and thus ‘affirming’ it. In view of this, meteorological and cryospheric processes, viz., glacial-atmosphere coupled interactions in tandem with temperature-moisture interactions and radiative balance- on glaciated regions are simultaneously argued over the Karakoram and the adjacent Ladakh. Ladakh is deliberately chosen to compare the weaknesses, lacuna and gaps in the observations/reanalyzes- so that similar forcings are investigated over both regions. It is important to mention that both regions are data sparse. Findings show that geographical and elevation positioning of the Karakoram makes its environmental conditions conducive for glacier stability and/or growth which otherwise is not the case in the Ladakh region. Indian winter monsoon, western disturbances (WDs) embedded within upper level subtropical westerly jet moving eastwards, provides higher moisture incursion which in association with lowered lifting condensation level dumps higher moisture/mass over Karakoram than Ladakh. In addition, role of 2 m surface (T2m) and skin temperature (Ts) is one of the leading driving mechanisms. Difference (T2m-Ts) illustrates inversion which provides stable atmosphere leading to dump all the available moisture/mass over Karakoram, which is contrary over Ladakh.
Keywords	glaciers ; monsoon season ; mountains ; skin temperature ; Himalayan region
Language	English
Dates of publication	2021-0920
Publishing place	Elsevier B.V.
Document type	Article
ZDB-ID	121506-1
ISSN	1879-1026 ; 0048-9697
ISSN (online)	1879-1026
ISSN	0048-9697
DOI	10.1016/j.scitotenv.2021.147864
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Significant role of permafrost in regional hydrology of the Upper Indus Basin, India.

Jeelani, G / Hassan, Wasim / Padhya, Virendra / Deshpande, R D / Dimri, A P / Lone, Suhail A

The Science of the total environment

2024 Volume 919, Page(s) 170863

Abstract: Upper Indus Basin (UIB), being climatologically sensitive and socio-economically important, has emerged as a hotspot for eco-hydrological studies. Permafrost, one of the essential components of the regional hydrological cycle with a critical role in ... ...

Abstract	Upper Indus Basin (UIB), being climatologically sensitive and socio-economically important, has emerged as a hotspot for eco-hydrological studies. Permafrost, one of the essential components of the regional hydrological cycle with a critical role in microclimate, is also an important water resource in the UIB. Despite being an important component of the cryospheric system, permafrost is least studied in the UIB. In present study, we used stable oxygen and hydrogen isotopic composition in supra-permafrost water (SPFW) and aufeis along with precipitation, snowpack, glacier and other groundwaters to assess their variability and estimate their contribution to regional hydrology. The sources are evolving isotopically, depending on physiographic and hydrometeorological factors, with each source attaining different (if not distinct) isotopic signatures. The isotopic signatures (with different ranges) of sources help in estimating the contribution from these sources. A significant altitude gradient of δ
Language	English
Publishing date	2024-02-08
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	121506-1
ISSN	1879-1026 ; 0048-9697
ISSN (online)	1879-1026
ISSN	0048-9697
DOI	10.1016/j.scitotenv.2024.170863
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Article: Elevation dependent precipitation and temperature changes over Indian Himalayan region

Dimri, A. P. / Palazzi, E. / Daloz, A. S.

Climate dynamics. 2022 July, v. 59, no. 1-2

2022

Abstract: Various studies reported an elevation dependent precipitation and temperature changes in mountainous regions of the world including the Himalayas. Various mechanisms are proposed to link the possible dependence of the precipitation and temperature on ... ...

Abstract	Various studies reported an elevation dependent precipitation and temperature changes in mountainous regions of the world including the Himalayas. Various mechanisms are proposed to link the possible dependence of the precipitation and temperature on elevation with other variables, including, long- and short-wave radiation, albedo, clouds, humidity, etc. In the present study changes and trends of precipitation and temperature at different elevation ranges in the Indian Himalayan region (IHR) is assessed. Observations and modelling fields during the period 1970–2099 are used. Modelling simulations from the Coordinated Regional Climate Downscaling Experiment-South Asia experiments (CORDEX-SA) suites are considered. In addition, four seasons—winter (Dec, Jan, Feb: DJF), pre-monsoon (Mar, Apr, May: MAM), monsoon (Jun, Jul, Aug, Sep: JJAS) and post-monsoon (Oct, Nov: ON)—are considered to detect the possible seasonal response of elevation dependency. Firstly, precipitation and temperature fields, separately, as well as the diurnal temperature range (DTR) are assessed. Following, their long-term trends are investigated, if varying, at different elevational ranges in the IHR. To explain plausible physical mechanisms due to elevation dependency, trend of other variables viz., surface downward longwave radiation (DLR), total cloud faction, soil moisture, near surface specific humidity, surface snow melt and surface albedo, etc. are investigated. Results point towards an decreased (increased) precipitation in higher (lower) elevation. And amplified warming signals at higher elevations (above 3000 m), both in daytime and nighttime temperatures, during all seasons except the monsoon, are noticed. Increased DLR trends at higher elevation are also simulated well by the model and are likely the main elevation dependent driver in the IHR.
Keywords	climate ; dynamics ; models ; monsoon season ; mountains ; shortwave radiation ; snowmelt ; soil water ; specific humidity ; terrestrial radiation ; Asia ; Himalayan region
Language	English
Dates of publication	2022-07
Size	p. 1-21.
Publishing place	Springer Berlin Heidelberg
Document type	Article
ZDB-ID	1471747-5
ISSN	1432-0894 ; 0930-7575
ISSN (online)	1432-0894
ISSN	0930-7575
DOI	10.1007/s00382-021-06113-z
Database	NAL-Catalogue (AGRICOLA)

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Article: Comparison of regional and seasonal changes and trends in daily surface temperature extremes over India and its subregions

Dimri, A. P

Theoretical and applied climatology. 2019 Apr., v. 136, no. 1-2

2019

Abstract: Regional changes in surface meteorological variables are one of the key issues affecting the Indian subcontinent especially in recent decades. These changes impact agriculture, health, water, etc., hence important to assess and investigate these changes. ...

Abstract	Regional changes in surface meteorological variables are one of the key issues affecting the Indian subcontinent especially in recent decades. These changes impact agriculture, health, water, etc., hence important to assess and investigate these changes. The Indian subcontinent is characterized by heterogeneous temperature regimes at regional and seasonal scales. The India Meteorological Department (IMD) observations are limited to recent decades as far as its spatial distribution is concerned. In particular, over Hilly region, these observations are sporadic. Due to variable topography and heterogeneous land use/land cover, it is complex to substantiate impacts. The European Centre for Medium-Range Weather Forecasts (ECMWF) ERA-Interim (ERA-I) reanalysis not only covers a larger spatial domain but also provides a greater number of inputs than IMD. This study used ERA-I in conjunction with IMD gridded data to provide a comparative assessment of changing temperature patterns over India and its subregions at both regional and seasonal scales. Warming patterns are observed in both ERA-I and IMD data sets. Cold nights decrease during winter; warm days increase and warm spell duration increased during winter could become a cause of concern for society, agriculture, socio-economic reasons, and health. Increasing warm days over the hilly regions may affect the corresponding snow cover and thus river hydrology and glaciological dynamics. Such changes during monsoon are slower, which could be attributed to moisture availability to dampen the temperature changes. On investigation and comparison thereon, the present study provisions usages of ERA-I-based indices for various impact and adaptation studies.
Keywords	data collection ; land cover ; land use ; monsoon season ; rivers ; seasonal variation ; snowpack ; socioeconomics ; surface temperature ; topography ; weather forecasting ; winter ; India
Language	English
Dates of publication	2019-04
Size	p. 265-286.
Publishing place	Springer Vienna
Document type	Article
ZDB-ID	1463177-5
ISSN	1434-4483 ; 0177-798X
ISSN (online)	1434-4483
ISSN	0177-798X
DOI	10.1007/s00704-018-2486-5
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Article ; Online: Spatial and meteorological controls of stable water isotope dynamics of precipitation in Kashmir Valley, Western Himalaya, India.

Lone, Altaf / Jeelani, Ghulam / Lone, Suhail A / Padhya, Virendra / Deshpande, Rajendrakumar D / Dimri, A P

Isotopes in environmental and health studies

2023 , Page(s) 1–22

Abstract: In the Himalayas, the lives and livelihoods of millions of people are sustained by water resources primarily depending on the moisture brought by Western Disturbances and Indian Summer Monsoon. In the present study, a network of 12 precipitation stations ...

Abstract	In the Himalayas, the lives and livelihoods of millions of people are sustained by water resources primarily depending on the moisture brought by Western Disturbances and Indian Summer Monsoon. In the present study, a network of 12 precipitation stations was established across the Kashmir Valley to understand the spatial and meteorological factors controlling precipitation isotopes. Temperature and relative humidity are dominant meteorological factors, whereas altitude, proximity to forest canopy, land use/land cover, windward and leeward sides of the mountains are the main physical factors influencing precipitation isotopes. The study suggests that the Mediterranean Sea and nearby water bodies along with continental recycling are the dominant sources of moisture from October to May, while the Arabian Sea, Bay of Bengal and continental recycling are the main sources of moisture from June to September. However, some precipitation events from October to May collect moisture from the Arabian Sea and some precipitation events from June to September collect moisture from the Mediterranean Sea. The occasional passage of Western Disturbances in summer merging with the Indian Summer Monsoon yields heavy to very heavy precipitation. The study provides a better understanding of complex spatial and meteorological phenomena controlling precipitation isotopes across the Western Himalayas.
Language	English
Publishing date	2023-09-26
Publishing country	England
Document type	Journal Article
ZDB-ID	2100190-X
ISSN	1477-2639 ; 0021-1915 ; 1025-6016
ISSN (online)	1477-2639
ISSN	0021-1915 ; 1025-6016
DOI	10.1080/10256016.2023.2256454
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Understanding Trend of the Covid-19 Fatalities in India

Dimri, V. P. / Ganguli, Shib S. / Srivastava, R. P.

Journal of the Geological Society of India

2020 Volume 95, Issue 6, Page(s) 637–639

Keywords	Geology ; covid19
Language	English
Publisher	Springer Science and Business Media LLC
Publishing country	us
Document type	Article ; Online
ZDB-ID	802600-2
ISSN	0974-6889 ; 0016-7622
ISSN (online)	0974-6889
ISSN	0016-7622
DOI	10.1007/s12594-020-1492-2
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: Understanding Trend of the Covid-19 Fatalities in India

Dimri, V. P. / Ganguli, Shib S. / Srivastava, R. P.

Journal of Geological Society of India

Keywords	covid19
Publisher	WHO
Document type	Article
Note	WHO #Covidence: #604841
Database	COVID19

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Conference proceedings ; Online: Assessment of hydrological systems at basin scale using space borne observations

Tiwari, V. / Muppidi, R. / Muddu, S. / Mondal, N. / Dimri, A. / Panda, D. / Syed, T. / Singh, V. / Chamoli, A. / Vijayan, S. / Sharma, R. / Prasad, P.

XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)

2023

Abstract: Recent advancements of space geodetic observations and remote sensing techniques allow to extract hydrological information reasonably well at the river basin scale. Combining this information with in-situ data provide a new opportunity to explore the ... ...

Abstract	Recent advancements of space geodetic observations and remote sensing techniques allow to extract hydrological information reasonably well at the river basin scale. Combining this information with in-situ data provide a new opportunity to explore the feasibility of assessing hydrological models at the basin scale. Appreciating such possibilities, a group of researchers from the different institutions in India, has developed a project that envisioned to quantify each component of hydrological cycle at the basin scale and also planned to investigate crustal deformations due to the hydrological changes. The project was financially supported by National Geospatial Programme, Department of Science and Technology, India. A precise assessment of Terrestrial Water Storage (TWS), groundwater storage, soil moisture, evapotranspiration, severity of drought and hot –spells at basin scale and downscaling of the GRACE derived TWS to the sub-basin scale are carried out under this project. Several GPS stations co-located with soil moisture probes are installed in the Ganga river basin to validate and improve the hydrological models. It is planned to present the results over three major river basins of India studied under this project.
Subject code	550
Language	English
Publishing date	2023-07-11
Publishing country	de
Document type	Conference proceedings ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: The representation of summer monsoon rainfall over northeast India: assessing the performance of CORDEX-CORE model experiments

Ahamed, Md. R. A. / Sharma, Aka / Wani, John Mohd / Dimri, A. P.

Theor Appl Climatol. 2023 Feb., v. 151, no. 3-4 p.1949-1962

2023

Abstract: In this study, the performance of the latest high-resolution CORDEX-CORE model simulations is assessed with respect to the corresponding gridded Indian Meteorological Department (IMD) and ERA5 observations in representing the monsoon rainfall over ... ...

Abstract	In this study, the performance of the latest high-resolution CORDEX-CORE model simulations is assessed with respect to the corresponding gridded Indian Meteorological Department (IMD) and ERA5 observations in representing the monsoon rainfall over northeast India during the historical period (1979–2005). Three different RCM model simulations (COSMO, RegCM4.7, and REMO) downscaled from the global data over the South Asian CORDEX domain are used in this study. Their corresponding RCM ensembles using boundary conditions from ERA-Interim re-analysis and CMIP5 GCMs and a combined ensemble of all the RCMs were also evaluated to assess their performance. The analysis shows that the COSMO model experiments resemble closer to both the observations while comparing with the other two RCMs. With respect to IMD and ERA5 observations, the COSMO model experiments show moderate wet bias across the study area. In contrast, the RegCM model experiments show very wet bias and the REMO model experiments show more dry bias across a significant part of the study region. Quantitatively, in comparison to IMD, the COSMO suite of models shows a slight overestimation ranging between 7 and 13%, and with ERA5, an underestimation of about 14 to 18% is observed. In comparison to both observations, the REMO model experiments underestimate (15 to 50%), whereas the RegCM model experiments overestimate (15 to 80%) the monsoon rainfall. Overall, these model experiments replicate the monsoon rainfall over the study region but with biases that differ spatially.
Keywords	monsoon season ; rain ; summer ; India
Language	English
Dates of publication	2023-02
Size	p. 1949-1962.
Publishing place	Springer Vienna
Document type	Article ; Online
ZDB-ID	1463177-5
ISSN	1434-4483 ; 0177-798X
ISSN (online)	1434-4483
ISSN	0177-798X
DOI	10.1007/s00704-023-04369-5
Database	NAL-Catalogue (AGRICOLA)

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Article: Spatio-temporal rainfall variability over different meteorological subdivisions in India: analysis using different machine learning techniques

Mohapatra, Gyanendranath / Rakesh, V. / Purwar, Smrati / Dimri, A. P.

Theoretical and applied climatology. 2021 July, v. 145, no. 1-2

2021

Abstract: Understanding and quantifying long-term rainfall variability at regional scale is important for a country like India where economic growth is very much dependent on agricultural production which in turn is closely linked to rainfall distribution. Using ... ...

Abstract	Understanding and quantifying long-term rainfall variability at regional scale is important for a country like India where economic growth is very much dependent on agricultural production which in turn is closely linked to rainfall distribution. Using machine learning techniques viz., cluster analysis (CA) and principal component analysis (PCA), the spatial and temporal rainfall patterns over the meteorological subdivisions in India are examined. Monthly rainfall data of 117 years (1901–2017) from India Meteorological Department over 36 meteorological subdivisions in India is used in this study. Using hierarchical clustering method, six homogeneous rainfall clusters were identified in India. Among the rainfall clusters, Group 1 had 30% dissimilarity with Groups 2, 3, and 4 while Group 5 and Group 6 are highly dissimilar (more than 90% dissimilarity) with the rest of the groups. Rainfall seasons in each group were further classified into dry, wet, and transition periods. The duration of dry period is smaller in group which consists of subdivisions from southern part of the country. The transition period between dry and wet period was found to be smaller for subdivisions in the coastal region. Both CA and PCA showed high rainfall variability in Groups 5 and 6, which comprise subdivisions from north east, Kerala, Konkan, and costal Karnataka and low rainfall variability in Groups 1 and 2 which comprise subdivisions from east, north, and central part of the country. Strong negative trend in annual and Indian summer monsoon rainfall is seen in northeast India and Kerala while positive trend is observed over costal Karnataka and Konkan region. The negative trend in post monsoon rainfall particularly over the peninsular and northeast India indicates weakening of northeast monsoon rainfall in the country.
Keywords	climatology ; cluster analysis ; coasts ; economic development ; meteorological data ; monsoon season ; principal component analysis ; rain ; India
Language	English
Dates of publication	2021-07
Size	p. 673-686.
Publishing place	Springer Vienna
Document type	Article
ZDB-ID	1463177-5
ISSN	1434-4483 ; 0177-798X
ISSN (online)	1434-4483
ISSN	0177-798X
DOI	10.1007/s00704-021-03644-7
Database	NAL-Catalogue (AGRICOLA)

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