... Rakesh, 2019, Evaluation of WRF-simulated multilevel soil moisture, 2-m air temperature, and 2-m relative humidity against in situ observations in India, Pure and Applied Geophysics., Pure Appl. Geophys. ...
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 ...
The Earth & Engineering Sciences Division (EESD) at CSIR-4PI is recognised as a leader at national level and competing at international level for its multi-dimensional high impact studies of the earth ...
by Ramesh Kalidhasan Vasanthakumari, Rakesh Vasudevan Nair and Venkatesh Gowda Krishnappa
The Convolutional Neural Network (CNN) algorithm is used to classify multispectral images of labelled EuroSAT ...
... between multiple dark bands of MSTID. Following the first interaction, one of the interacting bands decayed possibly due to the entrance of plasma from the ambient higher plasma density region. Shortly ...
... The IOBM and IOD are the leading eigenmodes estimated from a traditional anomaly of SST. This approach ignores the possibility of multiple seasonal cycles (SCs) having different geographic patterns and ...
... are analysed to find the best scheme for simulation of mean Indian summer monsoon rainfall (ISMR) and its variability. Multiforcing ensemble projections with the best scheme are carried out under multiple ...
... 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 ...
by V Anil Kumar and Debabrata Das
Multipath Transmission Control Protocol (MPTCP) is an innovative next-generation transport protocol standardized by the Internet Engineering Task Force (IETF) to overcome ...
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 ...
... amplitude. However, this anomaly framework falls short in capturing the complexity of multiple periodic modes with intricate waveforms and time dependent amplitude—the traits, in general, shared by externally ...
... between MJO phases, as measured by the Real-time Multivariate MJO (RMM) index, and the occurrence of HW in India, as defined by the Indian Meteorological Department. This paper demonstrated the relationship ...
... the data from the first positive case reported until 20 September 2021.
Methods: Using data from multiple countries, time series analysis is deployed to investigate the variations in the COVID-19 positivity ...
... hyperparameter optimization for prediction of yield (annual crop production) in Wheat, Groundnut and Barely over India based on multiple independent input variables identified using multicollinearity test. ...