Impact of INSAT-3D radiance data assimilation using WRF 3DVAR on simulation of Indian summer monsoon and high-resolution rainfall forecast over hilly terrain

2021 ◽  
Author(s):  
Rekha Bharali Gogoi ◽  
S. S. Kundu ◽  
P. L. N. Raju
Keyword(s):  
High Resolution ◽  
Data Assimilation ◽  
Summer Monsoon ◽  
Indian Summer Monsoon ◽  
Hilly Terrain ◽  
Rainfall Forecast ◽  
Radiance Data

Changes in the Indian Summer Monsoon during the past 600 years: A high-resolution record from the Anshupa Lake, Upper Mahanadi Delta, Core Monsoon Zone of India

2021 ◽  
pp. 105048
Author(s):  
Chinmay Dash ◽  
Rajasekhariah Shankar ◽  
Pitambar Pati ◽  
Busnur Rachotappa Manjunatha ◽  
Rayees Ahmad Shah ◽  
...  
Keyword(s):  
High Resolution ◽  
Summer Monsoon ◽  
Indian Summer Monsoon ◽  
The Past

scholarly journals Behavior of predicted convective clouds and precipitation in the high-resolution Unified Model over the Indian summer monsoon region

2017 ◽  
Vol 4 (5) ◽  
pp. 303-313 ◽  
Author(s):  
A. Jayakumar ◽  
Jisesh Sethunadh ◽  
R. Rakhi ◽  
T. Arulalan ◽  
Saji Mohandas ◽  
...  
Keyword(s):  
High Resolution ◽  
Summer Monsoon ◽  
Indian Summer Monsoon ◽  
Unified Model ◽  
Monsoon Region ◽  
Convective Clouds ◽  
Summer Monsoon Region

scholarly journals Decreasing Indian summer monsoon on the northern Indian sub-continent during the last 180 years: evidence from five tree-ring cellulose oxygen isotope chronologies

2018 ◽  
Vol 14 (5) ◽  
pp. 653-664 ◽  
Author(s):  
Chenxi Xu ◽  
Masaki Sano ◽  
Ashok Priyadarshan Dimri ◽  
Rengaswamy Ramesh ◽  
Takeshi Nakatsuka ◽  
...  
Keyword(s):  
High Resolution ◽  
Oxygen Isotope ◽  
Tree Ring ◽  
Summer Monsoon ◽  
Indian Summer Monsoon ◽  
Southern Oscillation ◽  
Oxygen Isotope Fractionation ◽  
Northern India ◽  
Tree Ring Cellulose

Abstract. We have constructed a regional tree-ring cellulose oxygen isotope (δ18O) record for the northern Indian sub-continent based on two new records from northern India and central Nepal and three published records from northwestern India, western Nepal and Bhutan. The record spans the common interval from 1743 to 2008 CE. Correlation analysis reveals that the record is significantly and negatively correlated with the three regional climatic indices: all India rainfall (AIR; r  =  −0.5, p  <  0.001, n  =  138), Indian monsoon index (IMI; r  =  −0.45, p  <  0.001, n  =  51) and the intensity of monsoonal circulation (r  =  −0.42, p  <  0.001, n  =  51). The close relationship between tree-ring cellulose δ18O and the Indian summer monsoon (ISM) can be explained by oxygen isotope fractionation mechanisms. Our results indicate that the regional tree-ring cellulose δ18O record is suitable for reconstructing high-resolution changes in the ISM. The record exhibits significant interannual and long-term variations. Interannual changes are closely related to the El Niño–Southern Oscillation (ENSO), which indicates that the ISM was affected by ENSO in the past. However, the ISM–ENSO relationship was not consistent over time, and it may be partly modulated by Indian Ocean sea surface temperature (SST). Long-term changes in the regional tree-ring δ18O record indicate a possible trend of weakened ISM intensity since 1820. Decreasing ISM activity is also observed in various high-resolution ISM records from southwest China and Southeast Asia, and may be the result of reduced land–ocean thermal contrasts since 1820 CE.

scholarly journals IMDAA: High Resolution Satellite-era Reanalysis for the Indian Monsoon Region

2021 ◽  
pp. 1-78
Author(s):  
S. Indira Rani ◽  
Arulalan T ◽  
John P. George ◽  
E. N. Rajagopal ◽  
Richard Renshaw ◽  
...  
Keyword(s):  
High Resolution ◽  
Data Assimilation ◽  
Summer Monsoon ◽  
Land Surface ◽  
Indian Monsoon ◽  
India Meteorological Department ◽  
Summer Monsoon Rainfall ◽  
Monsoon Region ◽  
Fine Grid ◽  
Indian Monsoon Region

AbstractA high resolution regional reanalysis of the Indian Monsoon Data Assimilation and Analysis (IMDAA) project is made available to researchers for deeper understanding of the Indian monsoon and its variability. This 12 km resolution reanalysis covering the satellite-era from 1979 to 2018 using 4D-Var data assimilation method and the UK Met Unified Model is presently the highest resolution atmospheric reanalysis carried out for the Indian monsoon region. Conventional and satellite observations from different sources are used, including Indian surface and upper air observations, of which some were not used in any previous reanalyses. Various aspects of this reanalysis, like quality control and bias correction of observations, data assimilation system, land surface analysis, and verification of reanalysis products, are presented in this paper. Representation of important weather phenomena of each season over India in the IMDAA reanalysis verifies reasonably well against India Meteorological Department (IMD) observations and compares closely with ERA5. Salient features of the Indian summer monsoon are found to be well represented in the IMDAA reanalysis. Characteristics of major semi-permanent summer monsoon features (e.g., Low-level Jet and Tropical Easterly Jet) in IMDAA reanalysis are consistent with ERA5. The IMDAA reanalysis has captured the mean, inter-annual, and intra-seasonal variability of summer monsoon rainfall fairly well. IMDAA produces a slightly cooler winter and a hotter summer than the observations; the reverse for ERA5. IMDAA captured the fine-scale features associated with a notable heavy rainfall episode over complex terrain. In this study, the fine grid spacing nature of IMDAA is compromised due to the lack of comparable resolution observations for verification.

High-resolution regional-coupled ocean-atmosphere simulation of the Indian Summer Monsoon

2017 ◽  
Vol 37 ◽  
pp. 717-740 ◽  
Author(s):  
Vasubandhu Misra ◽  
Akhilesh Mishra ◽  
Amit Bhardwaj
Keyword(s):  
High Resolution ◽  
Summer Monsoon ◽  
Indian Summer Monsoon ◽  
Ocean Atmosphere
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