Dynamic Downscaling the South Asian Summer Monsoon From a Global Reanalysis Using a Regional Coupled Ocean‐Atmosphere Model

Misra, Vasubandhu; Jayasankar, C. B.; Mishra, Akhilesh; Mitra, Ashish K.; Murugavel, P.

doi:10.1029/2022jd037490

Cited by 4 publications

(4 citation statements)

References 99 publications

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“…The CRSM exhibits reasonable skill in simulating the spatial distribution of observed mean summer monsoon mixed layer depth (MLD) features, such as deeper MLD over the western AS and comparatively shallower MLD over the BoB (e.g., Misra et al., 2022). However, CRSM underestimates the magnitude of the MLD in most of the areas and overestimates over certain areas of the northern BoB and certain areas of southern AS (Figure S3 in Supporting Information ).…”

Section: Resultsmentioning

confidence: 99%

“…The sponge zone's width is set to 16 grid points at the edges of the model boundaries. Earlier studies have indicated that these model physics schemes are the most suitable combination for simulating the ISM (e.g., Misra et al., 2017, 2022).…”

Section: Models Experimental Details and Methodsmentioning

confidence: 99%

“…Dynamical downscaling of coarse‐resolution global general circulation models (GCM) through high‐resolution regional climate models (RCMs) is a widely used approach to overcome horizontal resolution‐dependent difficulties. RCMs are widely used to study the variabilities of the ISM (Bhaskaran et al., 1996, 2012; Dash et al., 2006; Jayasankar et al., 2018; Ji & Vernekar, 1997; Misra et al., 2018, 2022). The majority of the earlier dynamical downscaling studies relied on atmosphere‐only RCMs forced with prescribed SST (Ajay et al., 2019; Befort et al., 2016; Chen et al., 2018; Dash et al., 2006; Lucas‐Picher et al., 2011; Maurya et al., 2020; Mishra & Dubey, 2021; Mishra, Dubey & Dinesh, 2022; Misra et al., 2017; Pattnayak et al., 2018; Rai et al., 2020; Umakanth et al., 2016).…”

Section: Introductionmentioning

confidence: 99%

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A Comparative Study Between Regional Atmospheric Model Simulations Coupled and Uncoupled to a Regional Ocean Model of the Indian Summer Monsoon

Jayasankar

Misra

Karmakar

2023

Earth and Space Science

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Section: Resultsmentioning

confidence: 99%

Section: Models Experimental Details and Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Comparative Study Between Regional Atmospheric Model Simulations Coupled and Uncoupled to a Regional Ocean Model of the Indian Summer Monsoon

Jayasankar

Misra

Karmakar

2023

Earth and Space Science

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“…The dynamic downscaling is performed by numerical models to simulate regional physical fields at a finer scale (Giorgi & Mearns, 1999). This method is physically explicit, but requires adequate knowledge of the climatic system as well as substantial computational resources (Misra et al, 2022). By contrast, statistical downscaling is based on statistical models to establish relationships between low‐resolution and high‐resolution variable fields, which are relatively simple and computationally small (Gutiérrez et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

One‐kilometre monthly air temperature and precipitation product over the Mongolian Plateau for 1950–2020

Xin

Yang

Chen

et al. 2023

Intl Journal of Climatology

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The fragile ecological environment of the Mongolian Plateau (MP) is sensitive to climate change. It is necessary to fully understand the temperature and precipitation changes on the MP to ensure regional sustainable development. Most existing studies are conducted based on station observations which suffer from sparse distribution and limited spatial representativeness and cannot perfectly represent the climatic conditions of the whole region. By contrast, the long‐term, spatially continuous reanalysis products offer new opportunities for MP climate change research. However, the coarse spatial resolution and large uncertainties of reanalysis data limit their applicability to provide reliable climate information at finer scales. Within the delta downscaling framework, we downscale and correct the state‐of‐the‐art European Centre for Medium‐range Weather Forecasts ReAnalysis 5 land portion (ERA5‐Land) using a high‐resolution WorldClim reference climatology and generate a long‐term (1950–2020) 1‐km monthly air temperature and precipitation downscaled dataset. During the downscaling process, the results obtained by nearest neighbour, bilinear and bicubic interpolation methods are evaluated and compared. Air temperature result of bilinear method and precipitation result of nearest neighbour method, which have the best accuracy, are taken as the final downscaled data. The evaluation shows that the downscaled data has acceptable accuracy (overall MBE = −0.41°C, Corr = 0.997, RMSE = 1.51°C for air temperature, and MBE = 1.58 mm·month−1, Corr = 0.747, RMSE = 24.24 mm·month−1 for precipitation), and outperforms the original ERA5‐Land and widely used Climatic Research Unit (CRU) data. In addition, the downscaled data can also provide accurate and detailed temperature and precipitation change trends over the MP. With fine spatial resolution, long‐time span and good spatial continuity, the downscaled air temperature and precipitation will be a useful data source to explore climate change over the MP.

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Projected climatic exposure and velocities of precipitation extremes over India and its biogeographic zones

Sachan,

Kumari,

Kumar

2024

Intl Journal of Climatology

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Climate change is leading to alterations in the dynamic and thermodynamic climate systems worldwide, including the Indian summer monsoon (ISM), which supports more than a billion population and drives the Indian economy. The anthropogenic climate change induces unprecedented transformations in the natural and ecological systems, such as the increased probability of precipitation extremes, changes in their frequency, duration and spatial variabilities. This current study aims to project the regional landscape‐based metric, velocity of climate change (VoCC) and associated climatic exposure regarding precipitation extremes (PEs) for India and its different biogeographic zones. The climate velocities of mean precipitation, 95th, 99.5th and 99.9th percentiles of precipitation for the ISM season are presented for the historical and three projected time slices under the RCP8.5 scenario. ROM, a state‐of‐the‐art regional earth system model over the CORDEX‐South Asia domain, was used in the study. It was observed that the intense and very intense rainfall (95th, 99.5th and 99.9th percentiles) was enhanced over most of the study region in the near‐ and mid‐future compared to the far‐future. The intense rainfall exhibited higher climate velocity than the mean and very intense precipitation in the near‐future. The southern part of the Indian subcontinent usually displayed positive VoCC values for the historical and near‐future time slices compared to the northern part of the Indian peninsula, particularly the intense and very intense precipitation. The climatic exposure for all‐India was also higher in the near‐ and mid‐future compared to the far‐future, especially for the intense rainfall followed by the mean and very intense rainfall. These results suggest the need for focusing the adaptation and mitigation measures towards managing the near‐term impacts of PEs in relation to the long‐term impacts, especially on the country's diverse flora.

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Dynamic Downscaling the South Asian Summer Monsoon From a Global Reanalysis Using a Regional Coupled Ocean‐Atmosphere Model

Cited by 4 publications

References 99 publications

A Comparative Study Between Regional Atmospheric Model Simulations Coupled and Uncoupled to a Regional Ocean Model of the Indian Summer Monsoon

A Comparative Study Between Regional Atmospheric Model Simulations Coupled and Uncoupled to a Regional Ocean Model of the Indian Summer Monsoon

One‐kilometre monthly air temperature and precipitation product over the Mongolian Plateau for 1950–2020

Projected climatic exposure and velocities of precipitation extremes over India and its biogeographic zones

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