Article
Meteorology & Atmospheric Sciences
Benjamin Le Roy, Aude Lemonsu, Robert Schoetter
Summary: Regional Climate Models (RCMs) provide climate information to stakeholders, but do not explicitly represent cities and their impact on local climate. Downscaling methods are needed to bridge the gap between RCMs and city scale. A statistical-dynamical downscaling method has been developed to quantify the Urban Heat Island (UHI) effect in Paris.
Article
Meteorology & Atmospheric Sciences
Liwei Zou, Tianjun Zhou
Summary: This study dynamically downscaled future climate changes over East Asia using a state-of-the-art regional climate model. The downscaling showed significant improvements in simulating present-day mean and extreme rainfall over China, especially in the Pearl River Basin and the Yangtze River Basin. The projected increases in mean and extreme rainfall in China under different emission scenarios were mainly attributed to thermodynamic processes associated with increased moisture, highlighting the importance of simulated climatology in predicting future rainfall changes.
Article
Meteorology & Atmospheric Sciences
C. B. Jayasankar, K. Rajendran, Surendran Sajani
Summary: High-resolution regional climate model simulations are useful in deriving realistic climate change projection information, with the study showing that high-resolution simulations outperform lower resolution ones in predicting Indian climate changes.
THEORETICAL AND APPLIED CLIMATOLOGY
(2021)
Article
Meteorology & Atmospheric Sciences
Sudip Kumar Kundu, Charu Singh, Prakash Chauhan
Summary: This study evaluates the rainfall patterns from selected Regional Climate Models (RCMs) and Global Climate Models (GCMs) in comparison to ground-based Indian Meteorological Department (IMD) data during the monsoon season in the North-West Himalayan Region. The results suggest that CMIP5 models outperform CORDEX models in representing extreme rainfall events and have smaller deviations from IMD data, indicating better simulation abilities for rainfall variability over the region.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2022)
Article
Geosciences, Multidisciplinary
Guangtao Dong, Ye Xie, Ya Wang, Dongli Fan, Zhan Tian
Summary: The regional climate models show significant improvements in simulating extreme precipitation in China compared with global climate models, especially when the ensemble mean results are considered. In the future, the northern arid regions, particularly North China and Northeast China, will experience a decrease in consecutive dry days, while the southern regions will see longer dry periods. Overall, both the amount and intensity of precipitation are projected to increase, with more frequent and intense extreme precipitation events.
FRONTIERS IN EARTH SCIENCE
(2021)
Article
Meteorology & Atmospheric Sciences
Dannell Quesada-Chacon, Klemens Barfus, Christian Bernhofer
Summary: Despite being considered a hot spot for climate change, there is still limited regional research on Central America. Downscaling techniques were employed in Costa Rica to study regional climatic characteristics and project future climate scenarios, yielding satisfactory results and providing more accurate precipitation models compared to standard methods.Projected climate extremes indices were calculated to give further details on the intensity of future climate change by the end of the century.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2021)
Article
Meteorology & Atmospheric Sciences
Alexandre Araujo Costa, Sullyandro Oliveira Guimaraes, Domingo Cassain Sales, Francisco das Chagas Vasconcelos Junior, Marcos Wender Santiago Marinho, Jose Marcelo Rodrigues Pereira, Eduardo Savio Passos Rodrigues Martins, Emerson Mariano da Silva
Summary: The RAMS model was used to simulate daily precipitation in the tropical Americas for current and future climates. The results showed that there will be longer dry spells and increased intensity of precipitation in most regions, with shorter wet spells in some areas.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2023)
Article
Meteorology & Atmospheric Sciences
Soumik Ghosh, P. Sinha, R. Bhatla, R. K. Mall, Abhijit Sarkar
Summary: The study evaluates the efficacy of regional climate model RegCM4 in depicting the different phases of the Indian summer monsoon. It shows that the model performs well in simulating the onset and break phases, but has limited skill in representing the active phase.
ATMOSPHERIC RESEARCH
(2022)
Article
Environmental Sciences
Saira Munawar, Ghani Rahman, Muhammad Farhan Ul Moazzam, Muhammad Miandad, Kashif Ullah, Nadhir Al-Ansari, Nguyen Thi Thuy Linh
Summary: Climate change directly impacts the cryosphere and hydrosphere, making it one of the leading issues affecting river basins. General circulation models (GCMs) are commonly used tools to assess climate change, but their coarse spatial resolution limits their direct application for local studies. This study evaluated the performance of five CMIP5 GCMs for downscaling climatic indicators and found that statistical downscaling methods (SDSM) were more efficient than the Long Ashton Research Station Weather Generator (LARS-WG). The results also showed that winter and pre-monsoon seasons would be most affected by warming and increased precipitation in the future.
Article
Meteorology & Atmospheric Sciences
Karuru Wamahiu, Jatin Kala, Jason P. Evans
Summary: This study investigates the influence of bias correction of Global Climate Models (GCMs) on the change in climate projected by regional climate models (RCMs). The results show that bias correction has a large influence on precipitation and temperature, especially for models with large biases. However, the differences between bias-corrected and non-corrected simulations are generally smaller than the models' inter-annual variability when considering the change in climate. Bias-corrected boundary conditions produce an overall reduction in the range, standard deviation, and mean absolute deviation of the change in climate, especially for precipitation.
Article
Meteorology & Atmospheric Sciences
T. S. Saikrishna, Dandi A. Ramu, K. B. R. R. Hari Prasad, K. K. Osuri, A. S. Rao
Summary: This study simulated the rainfall during the Indian summer monsoon period from 1982 to 2018 using the WRF model, and found that spectral-nudging can accurately capture seasonal rainfall and distribution of precipitation categories, highlighting its importance for improving long-range simulations.
ATMOSPHERIC RESEARCH
(2022)
Article
Meteorology & Atmospheric Sciences
Bipin Kumar, Rajib Chattopadhyay, Manmeet Singh, Niraj Chaudhari, Karthik Kodari, Amit Barve
Summary: Downscaling of high-resolution observation data is essential for validating climate model forecast and monitoring rainfall at micro-regional level. Dynamic and statistical downscaling models are commonly used to obtain high-resolution gridded data over large domains. Deep learning-based methods, such as DeepSD algorithm, provide an efficient solution for downscaling rainfall data in regions with complex topographies and non-linearities. The use of deep learning models result in better spatial distribution and minimum root-mean-square error compared to linear interpolation methods.
THEORETICAL AND APPLIED CLIMATOLOGY
(2021)
Article
Environmental Sciences
Chengwei Zhang, Jianjun He, Xin Lai, Yilin Liu, Huizheng Che, Sunling Gong
Summary: This study evaluated the impact of seasonal changes and different circulation classifications on WRF model's dynamical downscaling simulation results in the PRD region using NCEP FNL operational global analysis data and meteorological observation data. The results showed that the WRF model could accurately simulate the near-surface meteorological field's time variation characteristics, with slight underestimations in temperature and relative humidity, and overestimations in wind speed and precipitation. Seasonal factors and circulation types also played important roles in affecting the simulation results.
Article
Ecology
Modeste Meliho, Abdellatif Khattabi, Marco Braun, Collins A. Orlando
Summary: Morocco is vulnerable to climate change, and studies using climate models to forecast these impacts are important. However, the limitations of models, such as coarse spatial resolution and a large number of models, make it difficult to select the most appropriate ones for impact assessments in a specific region.
AFRICAN JOURNAL OF ECOLOGY
(2023)
Article
Geography, Physical
S. D. Sanap
Summary: This study focuses on the dynamical linkages between the Arctic Oscillations (AO) and winter precipitation variability over the Indian region. The analysis reveals a dipole pattern in precipitation between the western Himalayas and central India, which is mainly linked with the positive (negative) phase of the AO. The positive (negative) phase of the AO is associated with specific atmospheric dynamics, including the wave train pattern across Europe, the strengthening (weakening and southward movement) of the middle east jet stream, and the anticyclonic (cyclonic) circulation over the Arabian Sea.
GLOBAL AND PLANETARY CHANGE
(2023)
Article
Meteorology & Atmospheric Sciences
Saroj Kanta Mishra, Sandeep Sahany, Popat Salunke
METEOROLOGY AND ATMOSPHERIC PHYSICS
(2017)
Article
Meteorology & Atmospheric Sciences
Sandeep Sahany, Saroj Kanta Mishra, Popat Salunke
THEORETICAL AND APPLIED CLIMATOLOGY
(2019)
Article
Meteorology & Atmospheric Sciences
Shipra Jain, Saroj K. Mishra, Popat Salunke, Sandeep Sahany
Article
Meteorology & Atmospheric Sciences
Popat Salunke, Shipra Jain, Saroj Kanta Mishra
THEORETICAL AND APPLIED CLIMATOLOGY
(2019)
Article
Meteorology & Atmospheric Sciences
Shipra Jain, Popat Salunke, Saroj K. Mishra, Sandeep Sahany
THEORETICAL AND APPLIED CLIMATOLOGY
(2019)
Article
Geochemistry & Geophysics
Sinclaire Zebaze, Shipra Jain, Popat Salunke, Shayan Shafiq, Saroj K. Mishra
ATMOSPHERIC SCIENCE LETTERS
(2019)
Article
Environmental Sciences
Saroj K. Mishra, Shipra Jain, Popat Salunke, Sandeep Sahany
Article
Meteorology & Atmospheric Sciences
Shipra Jain, Popat Salunke, Saroj K. Mishra, Sandeep Sahany, Naveen Choudhary
ATMOSPHERIC RESEARCH
(2019)
Article
Multidisciplinary Sciences
Ruchi Singh Parihar, Prasanta Kumar Bal, Vaibhav Kumar, Saroj Kanta Mishra, Sandeep Sahany, Popat Salunke, Sushil Kumar Dash, Ramesh Chand Dhiman
SCIENTIFIC REPORTS
(2019)
Article
Multidisciplinary Sciences
Mansi Bhowmick, Saroj Kanta Mishra, Ben Kravitz, Sandeep Sahany, Popat Salunke
Summary: The study found that under global warming scenario, the Indian monsoon circulation and precipitation will strengthen, while under solar geoengineering scenario, although surface cooling is projected, there will be excessive precipitation near the Western Ghats leading to drought bias in most areas of India.
SCIENTIFIC REPORTS
(2021)
Article
Meteorology & Atmospheric Sciences
Prasanta Kumar Bal, Hari Prasad Dasari, Narayan Prasad, Popat Salunke, Ruchi Singh Parihar
Summary: This study examines the variations of energy fluxes in the Indian monsoon region with ENSO, IOD, and Indian Summer Monsoon Rainfall (ISMR) from 1979 to 2013. The research shows that the precipitation in El Niño and La Niña years is inversely related to radiative and sensible heat fluxes. Furthermore, during the positive IOD phase, enhanced convective activity and precipitation over certain areas are accompanied by increased shortwave and longwave radiative fluxes, while the conditions are largely opposite during the negative IOD phases.
ATMOSPHERIC RESEARCH
(2021)
Article
Meteorology & Atmospheric Sciences
Shipra Jain, Saroj K. Mishra, Abhishek Anand, Popat Salunke, John T. Fasullo
Summary: The study characterized interannual variations and long-term trends in the Somali Jet and Indian Summer Monsoon Rainfall using reanalysis data and observations. It found that during flood years, the Jet is stronger over the Arabian Sea and weaker over the Bay of Bengal, while the opposite occurs during drought years. El Nino (La Nina) years show similar characteristics to drought (flood) years. Positive and negative Indian Ocean Dipole years have different impacts on the Jet and rainfall over India.
Article
Meteorology & Atmospheric Sciences
Saroj K. Mishra, Sandeep Sahany, Popat Salunke, In-Sik Kang, Shipra Jain
NPJ CLIMATE AND ATMOSPHERIC SCIENCE
(2018)