Advantage of NEX-GDDP over CMIP5 and CORDEX Data: Indian Summer Monsoon

Jain, Shipra; Salunke, Popat; Mishra, Saroj K.; Sahany, Sandeep; Choudhary, Naveen

doi:10.1016/j.atmosres.2019.05.026

Cited by 48 publications

(22 citation statements)

References 16 publications

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“…Daily scale data for maximum temperature, minimum temperature and precipitation at fine resolution 0.25°(~25km×25km) are available at https://cds.nccs.nasa.gov/nex-gddp/. In this study, seven GCMs of CMIP5 were selected, which work well over the Indian region and have been validated by (Bokhari et al, 2018;Jain et al, 2019;Sahany et al, 2019). The institution, country and spatial resolution of the seven models are shown in Table 2.…”

Section: Imd Rainfall Datasetsmentioning

confidence: 99%

Soil erosion in future scenario using CMIP5 models and earth observation datasets

Maurya

Srivastava

Yaduvanshi

et al. 2021

Journal of Hydrology

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Section: Imd Rainfall Datasetsmentioning

confidence: 99%

Soil erosion in future scenario using CMIP5 models and earth observation datasets

Maurya

Srivastava

Yaduvanshi

et al. 2021

Journal of Hydrology

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“…In this sense, while examining the IMD and NEX‐GDDP datasets, Jain et al . (2019) noticed variability in the daily scale datasets of NEX‐GDDP as compared to IMD dataset. Presently, while comparing with different quantiles of the IMD observational datasets, it is observed that most of the models show discrepancy at higher quantiles.…”

Section: Resultsmentioning

confidence: 98%

Identification of future meteorological drought hotspots over Indian region: A study based on NEX‐GDDP data

Das

Umamahesh

2021

Intl Journal of Climatology

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The present study aims to answer the following two research questions using the future outputs from 19 GCMs of the novel NASA Earth Exchange Global Daily Downscaled Projections (NEX‐GDDP) under two Representative Concentration Pathway (RCP) 4.5 and 8.5 scenarios. (a) What will be the possible variability of future meteorological drought properties during the 21st century? (b) What will be the possible influence of temperature in modulating the drought properties? In order to answer the above questions, five different drought properties namely frequency, severity, duration, peak, and areal spread are analysed for future (2022–2099) using two meteorological drought indices such as Standardized Precipitation Index (SPI) and Standardized Precipitation‐Evapotranspiration Index (SPEI) for short (3‐month scale) and long (12‐month scale) term drought conditions. The essential outcomes from the study indicate a warming and wetting climate over Maharashtra during the 21st century. With an increase in monthly precipitation, severity and duration of future meteorological droughts are likely to decrease in long‐term drought condition. Conversely, in the short‐term condition, the properties are expected to increase. The drought properties like peak and areal spread are expected to increase for both short and long‐term drought conditions in most of the regions. Temperature plays a vital role in modulating the meteorological droughts, and the present study notices the same in most of the cases in all the drought properties, especially in drought severity, duration, and peak. All the division are identified as hotspot regions during the mid and later part of the 21st century for short‐term drought condition. The number of hotspot regions decreases in long‐term drought condition as compared to short‐term drought condition.

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“…Taking a SPEI-12 indicator, (Gupta and Jain, 2018) (Mondal et al, 2020) and it would be interesting to identify such processes and whether drought measures can help in understanding these processes like moisture transport, catchment characteristics which can make some regions more vulnerable to droughts. Some differences in dry spell lengths have been predicted in projections from NEX GDDP and CMIP5 over central India (Jain et al, 2019). Thus, analysis of different models can be done to ascertain any possible biases arising out of model uncertainties.…”

Section: Discussionmentioning

confidence: 99%

Complex Network Theoretic Analysis of Droughts in Future Climate Scenarios Across India.

Jha¹,

Gujrati²,

Singh³

2021

Preprint

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Spatio-temporal analysis of droughts is of paramount importance especially for future climate scenarios. We use complex network theoretic measures to understand spatio-temporal properties of precipitation driven meteorological drought across India in past and future climate scenarios. We construct drought networks using Event synchronization (ES) for moderate and extreme drought conditions derived using Standardized Precipitation Index at an aggregated scale of 6 months(SPI-6). Network measures like degree, closeness, betweenness and di

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Advantage of NEX-GDDP over CMIP5 and CORDEX Data: Indian Summer Monsoon

Cited by 48 publications

References 16 publications

Soil erosion in future scenario using CMIP5 models and earth observation datasets

Soil erosion in future scenario using CMIP5 models and earth observation datasets

Identification of future meteorological drought hotspots over Indian region: A study based on NEX‐GDDP data

Complex Network Theoretic Analysis of Droughts in Future Climate Scenarios Across India.

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