Gridded daily Indian monsoon rainfall for 14 seasons: Merged TRMM and IMD gauge analyzed values

Mitra, Ashis K.; Momin, Imranali M.; Rajagopal, E. N.; Basu, Swati; Rajeevan, M.; Krishnamurti, T. N.

doi:10.1007/s12040-013-0338-3

Cited by 95 publications

(63 citation statements)

References 23 publications

(24 reference statements)

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“…Both V7 and V6 are TRMM products calibrated with gauge values, and now V7 real-time data are also available for real-time applications. These improved V7 products can be used for merging local gauges to produce the final merged products over India (Mitra et al 2009(Mitra et al , 2013. TMPA-3B42 V6 data were a huge success, and this study reinforces that V7 data are further improved and will continue to be in demand from various sectors.…”

Section: Discussionsupporting

confidence: 59%

“…These satellite data are now being used with confidence for real-time applications by end users (Mitra et al 2003(Mitra et al , 2009. With the availability of rainfall data from the Tropical Rainfall Measuring Mission (TRMM), researchers and model developers for the Indian monsoon got a major boost.…”

Section: Introductionmentioning

confidence: 99%

“…The TRMM Multisatellite Precipitation Analysis (TMPA) research monitoring product, one of the most widely used high-resolution merged precipitation products for various hydrometeorological applications (Mitra et al 2009(Mitra et al , 2013Liu et al 2012;Wang et al 2014), takes advantages of the rich constellation of MW and infrared (IR) satellite-borne sensors along with available rain gauge data over land (Huffman et al 2007(Huffman et al , 2010. For the widest usage and applications of this precipitation product, a number of studies have been made in the last few years to validate this product at regional and seasonal scales (Sapiano and Arkin 2009;Villarini 2010;Scheel et al 2011;Karaseva et al 2012;Prakash et al 2012Prakash et al , 2013Prakash and Gairola 2014).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Comparison of TMPA-3B42 Versions 6 and 7 Precipitation Products with Gauge-Based Data over India for the Southwest Monsoon Period

Prakash

Mitra

Momin

et al. 2015

Journal of Hydrometeorology

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The upgraded version 7 (V7) of the Tropical Rainfall Measuring Mission (TRMM) Multisatellite Precipitation Analysis (TMPA) products is available to the user community. In this paper, two successive versions of the TMPA-3B42 research monitoring product, version 6 (V6) and V7, at the daily scale are evaluated over India during the southwest monsoon with gauge-based data for a 13-yr (1998-2010) period. Over typical monsoon rainfall zones, biases are improved by 5%-10% in V7 over the regions of higher rainfall like the west coast, northeastern, and central India. A similar reduced bias is seen in V7 over the rain-shadow region located in southeastern India. In terms of correlation, anomaly correlation, and RMSE, a marginal improvement is seen in V7. Additionally, in all-India summer monsoon rainfall amounts, mean, interannual values, and standard deviation show an overall improvement in V7. Different skill metrics over typical subregions within India show an improvement of the monsoon rainfall representation in V7. Rainfall frequency in different categories also indicates an overall improvement in V7 across all scales and subregions. Over central India regions associated with the monsoon transients, the sign of the bias has changed toward a positive bias. Even if the bias in the frequency of the occurrence of light rain has improved in V7, the values still show a large difference compared to observations. Though both V6 and V7 are able to represent the anomalous dry/wet regions during contrasting monsoon years, V7 shows some improvement in amplitude of those anomalies over V6. In general, V7 has considerably improved over V6 and will continue to be in demand from various sectors of observed rainfall data users.

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Section: Discussionsupporting

confidence: 59%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Comparison of TMPA-3B42 Versions 6 and 7 Precipitation Products with Gauge-Based Data over India for the Southwest Monsoon Period

Prakash

Mitra

Momin

et al. 2015

Journal of Hydrometeorology

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“…CFSR data sets available at 0.5 o resolution have been used in this study. This study uses the Indian Meteorological Department (IMD)/National Centre for Medium Range Weather Forecasting (NCMRWF) daily gridded rainfall at 1°resolution (Mitra et al 2013). The IMD/NCMRWF merged product available for each day for the period from 1998 to 2011.…”

Section: Data and Methodology Usedmentioning

confidence: 99%

Soil moisture variations in remotely sensed and reanalysis datasets during weak monsoon conditions over central India and central Myanmar

Shrivastava

Kar

Sharma

2016

Theor Appl Climatol

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“…Scientific studies of climate and meteorology in India show significant increases in the variability and frequency of extreme precipitation events, and variability is projected to increase further [5]. This variability affects rainfall patterns of the monsoon in the semi-arid tropics, where approximately 80% of the total annual rainfall falls within three or four months of the year [6]. Hence, when the monsoon is delayed or comes earlier than usual, agriculture is adversely affected [2].…”

Section: Introductionmentioning

confidence: 99%

What Is the Role of Agro-Met Information Services in Farmer Decision-Making? Uptake and Decision-Making Context among Farmers within Three Case Study Villages in Maharashtra, India

2017

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Scientific studies of climate and meteorology focusing on India show significant increase in the variability and frequency of extreme precipitation events. The increased variability of weather patterns places a huge constraint on farmer's ability to make strategic agricultural practice decisions. In response, public and private agro-met information services disseminate agro-met information to farmers. Yet, studies still show that there are constraints related to access and understanding of the information. An agro-met information service is based on scientific input from meteorology coupled with agricultural information and this information package is disseminated to farmers. Based on a study in three villages in Maharashtra, India, we show that the relevance of agro-met information differs depending on the decision-making situation. Several factors play an important role in farmer's agricultural decision-making. The usefulness of the agro-met information from farmer perspectives depends on the access, salience, and credibility of the information. Some subscribers complained about the credibility and the salience of services, while others painted a more positive picture of the service, arguing that there was value in receiving such information. The subscribers mainly valued agro-met information for the ability to undertake precautionary actions. We found that agricultural decision-making was discussed in different arenas; these arenas represented possibilities for farmers to contextualize agro-met information and thereby translate information to timely and appropriate actions suited to the specific local context.

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Gridded daily Indian monsoon rainfall for 14 seasons: Merged TRMM and IMD gauge analyzed values

Cited by 95 publications

References 23 publications

Comparison of TMPA-3B42 Versions 6 and 7 Precipitation Products with Gauge-Based Data over India for the Southwest Monsoon Period

Comparison of TMPA-3B42 Versions 6 and 7 Precipitation Products with Gauge-Based Data over India for the Southwest Monsoon Period

Soil moisture variations in remotely sensed and reanalysis datasets during weak monsoon conditions over central India and central Myanmar

What Is the Role of Agro-Met Information Services in Farmer Decision-Making? Uptake and Decision-Making Context among Farmers within Three Case Study Villages in Maharashtra, India

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