... 13 , No. 021, doi: 10.1079/PAVSNNR201813021.
8. G N Mohapatra, V Rakesh and K V Ramesh, 2017, Urban extreme rainfall events: Categorical skill of mesoscale model simulation for localized and non-localized ...
Sajani Surendran, Senior Principal Scientist, Sajani Surendran
Research Interests
Multiscale Modelling of Weather and Climate
Climate Change Projection and Impact Assessment
Simulation ...
... of ASCAT Soil Moisture Data with In-Situ Observations over the Indian Region: A Multiscale Analysis." IEEE Transactions on Geoscience and Remote Sensing 53.10 (2015): 5425-5434.
Rakesh, V., and ...
by Smrutishree Lenka, Rani Devi, Chennemkeril Mathew Joseph & Krushna Chandra Gouda
There are several important large-scale oceanic and atmospheric processes like El Niño-Southern Oscillation (ENSO), ...
... and summarized via four examples of high-impact weather events. Following this, a synthesis of the requirements, current status, and future research in Observations; Multiscale Data Assimilation; Multiscale ...
A fundamental barrier in advancing multiscale weather and climate prediction is the limited capability of contemporary models to represent the multiscale organization of precipitating convection. To overcome ...
... rates, hospitalization rates, and ICU requirements after successful vaccination campaigns at the country scale.
Results: Analysis of the COVID-19 positivity rates revealed a substantial decline in countries ...
... moving average (SARIMA) model has been developed based on evaluation criteria, considering its statistical performance and ability to capture the trend and patterns in CO2 concentration at station scale ...
... model is found to be superior to ML models; the percentage reduction in mean absolute scaled error with the Bi-LSTM compared to the best performing ML model was 94%, 72%, and 71% in predicting wheat, groundnut ...
by S Vishal Gupta, Imtiyaz A Parvez, and Prosanta K Khan
Deep sedimentary valleys entrap and amplify seismic waves, which is further responsible for site-specific amplification over the allied region. ...
... the need of improvement in understanding of HW at regional scale and especially in hilly region.
Source: https://doi.org/10.1007/s00704-023-04639-2
...
... on the OGP is brought out, which clearly shows that DOM, DWM and progress is almost influenced by the largescale processes. The intensity–duration–frequency analysis quantified the actual ISM length, seasonal ...
...
Abstract In this study, we report a special event of nighttime southwestward propagating medium scale traveling ionospheric disturbances (MSTIDs) observed in O(1D) 630.0 nm airglow images from an all-sky ...
... due to the nonavailability of high-resolution (HR) climate data. Here we develop dynamically downscaled HR (4 × 4 km) daily climate information for the months of April to June during 2001–2016 using a ...
... (March to May 2020) is also assessed. Similarly, the daily scale dataset was used to investigate the percentage change in AOD during pre-lockdown and lockdown period with respect to long-term mean. The ...
by Sneh Joshi, K. C. Gouda and Prashant Goswami
Seasonal forecasts of monsoon at regional scales are critical for many applications but are rarely attempted as even the skill at all-India scale is not ...
... account the pattern of epicentral distribution of seismic events when changing the spatial scale of the analysis. This is extremely important for adequate downscaling of the frequency of occurrence into ...
... during monsoon at all India scale while the value is about 57%, 76% and 55% over Central North, South and North East India region, respectively.
Source: https://link.springer.com/article/10.1007%2Fs00024-020-02463-7 ...