Simulations of Indian summer monsoon using RegCM: a comparison with ERA and GFDL analysis

Karadan, M.M.; Raju, P. V. S.; Mishra, Akhilesh

doi:10.1007/s00704-020-03496-7

Cited by 9 publications

(5 citation statements)

References 27 publications

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“…Its boundary is defined by the watershed of lower Yarlung Zangbo and is the joint part of the Yarlung Zangbo River and Brahmaputra River. Unlike other regions in the QTP, LYZV belongs to the south of the Himalayas, is controlled by the Indian monsoon [39][40][41][42][43], and has greatly varied elevations (from 85 m to 6941 m). Because of water vapor transport by monsoons and the uplift effect of the valley, precipitation in LYZV is greater than in other regions [44].…”

Section: Definition and Division Of Study Areamentioning

confidence: 99%

“…Because of water vapor transport by monsoons and the uplift effect of the valley, precipitation in LYZV is greater than in other regions [44]. Although LYZV is an ungauged region, we can estimate its annual precipitation ranging from 2500 mm to 3500 mm by using observations from similar neighborhoods in the south of the Himalayas and early investigation findings [43,[45][46][47]. Thus, it is essential to provide reasonable estimations in LYZV.…”

Section: Definition and Division Of Study Areamentioning

confidence: 99%

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CMIP6 Simulation-Based Daily Surface Air Temperature and Precipitation Projections over the Qinghai-Tibetan Plateau in the 21st Century

Wang,

Song,

et al. 2024

Atmosphere

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The Qinghai-Tibetan Plateau (QTP), the source of many major Asian rivers, is sensitive to climate change, affecting billions of people’s livelihoods across Asia. Here, we developed high-resolution projections of precipitation and daily maximum/minimum temperatures at 0.1° spatial resolution over the QTP. The projections are based on the output from seven global climate models (GCMs) from the Coupled Model Intercomparison Project Phase 6 (CMIP6) for historical (1979–2013) and projected (2015–2100) climates across four scenarios (SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5). An updated nonstationary cumulative distribution function matching method (called CNCDFm) was used to remove model systemic bias. We verify the necessity of taking into account altitude in downscaling processes and the validity of nonstationary bias correction. Compared to the historical period, the climate in the QTP in the 21st century is warmer (1.2–5.1 °C, for maximum surface temperature) and wetter (3.9–26.8%) according to the corrected GCM projection. For precipitation, the Indus River (IDR), Tarim River (TMR), Inner of Qiangtang Basin (IQTB), Yarlung Zangbo (YLZBR), and Qaidam Basin (QDB) showed growth well above the global average across high radiative forcing scenarios, which could have a profound impact on the regional hydrological cycle. However, there is great uncertainty in precipitation prediction, which is demonstrated by a very low signal-to-noise ratio (SNR) and a large difference between Bayesian model averaging (BMA) and multi-model averages (MMAs). This bias-corrected dataset is available for climate change impact research in the QTP at the subregion scale.

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Section: Definition and Division Of Study Areamentioning

confidence: 99%

Section: Definition and Division Of Study Areamentioning

confidence: 99%

CMIP6 Simulation-Based Daily Surface Air Temperature and Precipitation Projections over the Qinghai-Tibetan Plateau in the 21st Century

Wang,

Song,

et al. 2024

Atmosphere

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“…The climate simulations were conducted for four Coordinated Regional Climate Downscaling Experiment (CORDEX) domains across the Asia-Pacific: Australasia, East Asia, South Asia and Southeast Asia (Figure S2), at 40-km horizontal resolution, a resolution at which RegCM has been noted to perform well at Karadan et al (2021). Eighteen vertical levels were used from the surface up to 50 hPa, top of the atmosphere (TOA).…”

Section: Regional Climate Modeling Of Waterinsecure Regionsmentioning

confidence: 99%

Large‐scale reforestation can increase water yield and reduce drought risk for water‐insecure regions in the Asia‐Pacific

Teo

Raghavan

et al. 2022

Global Change Biology

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Large-scale reforestation can potentially bring both benefits and risks to the water cycle, which needs to be better quantified under future climates to inform reforestation decisions. We identified 477 water-insecure basins worldwide accounting for 44.6% (380.2 Mha) of the global reforestation potential. As many of these basins are in the Asia-Pacific, we used regional coupled land-climate modeling for the period 2041-2070 to reveal that reforestation increases evapotranspiration and precipitation for most water-insecure regions over the Asia-Pacific. This resulted in a statistically significant increase in water yield (p < .05) for the Loess Plateau-North China Plain, Yangtze Plain, Southeast China, and Irrawaddy regions. Precipitation feedback was influenced by the degree of initial moisture limitation affecting soil moisture response and thus evapotranspiration, as well as precipitation advection from other reforested regions and moisture transport away from the local region. Reforestation also reduces the probability of extremely dry months in most of the water-insecure regions. However, some regions experience nonsignificant declines in net water yield due to heightened evapotranspiration outstripping increases in precipitation, or declines in soil moisture and advected precipitation.

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“…Thereupon, such limited area models with high resolution is found to be vital in predicting the complicated meteorological system like ISM. RegCM has been one of that kind with wider acceptance among meteorological communities (Karadan et al 2021). Land surface processes play a vital role in simulating ISM and associated semi-permanent systems over South Asia region.…”

Section: Introductionmentioning

confidence: 99%

Sensitivity of runoff parameterization schemes in regional climate simulation of Indian summer monsoon

Karadan¹,

Raju²,

Anwar

et al. 2023

Preprint

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In this study, we examine the sensitivity of the Indian Summer Monsoon (ISM) to runoff parameterizations in a non-hydrostatic Regional Climate Model (RegCM) for the period from 1982 to 2018. The experiments comprise parameterizations namely SIMTOP control (CTL) scheme and Variable Infiltration Capacity (VIC) scheme. Both simulations were forced with ERA interim analysis and evaluated with respect to observation and reanalysis products. The results revealed that the VIC simulated rainfall exhibiting a good agreement with India Meteorological Department (IMD) gridded rainfall as compared to the CTL experiments. The temperature features also were simulated relatively well in VIC than CTL especially over the monsoon core region. Similarly, spatial characteristics of soil moisture, relative humidity, total cloud cover, surface net radiation, sensible heat flux, and latent heat flux were also performing better with VIC with respect to ECMWF Reanalysis fifth version (ERA5) products. Further, the extreme monsoon rainfall seasons are better simulated with VIC driven experiment. The interannual variations of rainfall, soil moisture, sensible heat flux, and latent heat flux explained the dominance of VIC simulations over CTL which further lies in alignment with the aforesaid findings. However, these have been validated with statistical skill score named Nash-Sutcliffe coefficient and mean absolute error. The statistical analyses further corroborated the ISM simulations are better performed with VIC runoff parameterization than the CTL.

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Simulations of Indian summer monsoon using RegCM: a comparison with ERA and GFDL analysis

Cited by 9 publications

References 27 publications

CMIP6 Simulation-Based Daily Surface Air Temperature and Precipitation Projections over the Qinghai-Tibetan Plateau in the 21st Century

CMIP6 Simulation-Based Daily Surface Air Temperature and Precipitation Projections over the Qinghai-Tibetan Plateau in the 21st Century

Large‐scale reforestation can increase water yield and reduce drought risk for water‐insecure regions in the Asia‐Pacific

Sensitivity of runoff parameterization schemes in regional climate simulation of Indian summer monsoon

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