Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Shweta Panjwani"'
Publikováno v:
Journal of Agrometeorology, Vol 22, Iss 4 (2020)
Global and regional climate models are reported to have inherent bias in simulating the observed climatology of a region. This bias of climate models is the major source of uncertainties in climate change impact assessments. Therefore, use of bias co
Externí odkaz:
https://doaj.org/article/e731b1f60b854f259997073e2d4e6988
Autor:
Shweta Panjwani, S. Naresh Kumar
Publikováno v:
Theoretical and Applied Climatology. 152:521-533
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6dbafd7a1d624fbb9a78049995ede8b5
https://doi.org/10.1007/s00704-023-04431-2
https://doi.org/10.1007/s00704-023-04431-2
Publikováno v:
Journal of Agrometeorology. 22:407-418
Global and regional climate models are reported to have inherent bias in simulating the observed climatology of a region. This bias of climate models is the major source of uncertainties in climate change impact assessments. Therefore, use of bias co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e45c810f392f62e8a8f6dd26760e9b3e
https://doi.org/10.54386/jam.v22i4.443
https://doi.org/10.54386/jam.v22i4.443
Publikováno v:
Theoretical and Applied Climatology. 140:731-738
Extreme temperature events derived from the global climate models (GCMs) are used for climate change impact studies in several sectors, especially in agriculture. Reducing the uncertainty in simulated crop yields based on extreme temperatures is an i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dee5236928e642c575166c3a2787bc40
https://doi.org/10.1007/s00704-020-03108-4
https://doi.org/10.1007/s00704-020-03108-4
Autor:
Neelesh K. Lodhi, SOORA KUMAR, Sachchidanand Singh, Swaroopa Rani DN, Shweta Panjwani, Suman Lata
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8dd960ef02dc0a4887cb6ad4daa614cf
https://doi.org/10.2139/ssrn.4086681
https://doi.org/10.2139/ssrn.4086681
Publikováno v:
Algorithms for Intelligent Systems ISBN: 9789811601668
Global climate models (GCMs) are common source of developing scenarios. These scenario data (temperatures) have cold or hot bias that can be corrected using different bias correction methods. To reduce the uncertainties in impact assessment studies,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb97a9fad8c54ea09141e9ab9cc5cadf
https://doi.org/10.1007/978-981-16-0167-5_9
https://doi.org/10.1007/978-981-16-0167-5_9
Publikováno v:
Algorithms for Intelligent Systems ISBN: 9789811550768
Climate scenarios generated from GCMs taken as input to various climate change impact assessment studies. These GCMS data have lots of bias which may result in uncertain predictions of various impact studies. So, it is necessary to provide bias corre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6fd370e60412b04d343496b21924f649
https://doi.org/10.1007/978-981-15-5077-5_55
https://doi.org/10.1007/978-981-15-5077-5_55
Prioritization of global climate models using fuzzy analytic hierarchy process and reliability index
Publikováno v:
Theoretical and Applied Climatology. 137:2381-2392
Climate scenarios derived from the global climate models (GCMs) are used for climate change impact studies in several sectors including agriculture, hydrological, and health. Globally, more than 50 climate models exist and choosing suitable models ba
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::496480c7f01f4f21cb9000070e0c2b9a
https://doi.org/10.1007/s00704-018-2707-y
https://doi.org/10.1007/s00704-018-2707-y
Autor:
Shalu Mishra Shukla, S. Naresh Kumar, H. Pathak, Shweta Panjwani, T. R. Sharma, Parimal Sinha, K. Viswanath, Shalini Saxena
Publikováno v:
Climatic Change. 142:155-167
Assessing disease risk has become an important component in the development of climate change adaptation strategies. Here, the infection ability of leaf blast (Magnaporthe oryzae) was modeled based on the epidemiological parameters of minimum (T min)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d764e7649addb1e4d2a0f4779e139458
https://doi.org/10.1007/s10584-017-1942-z
https://doi.org/10.1007/s10584-017-1942-z
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811054266
Data mining techniques are widely used to analyze the large amount of data. Classification is an important technique which classifies data of various real world applications. This paper aims to compare the performance of classification algorithms for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cda1e82d8309be0fb71dcb1959f5ed7b
https://doi.org/10.1007/978-981-10-5427-3_58
https://doi.org/10.1007/978-981-10-5427-3_58