Reply on RC1 DOI Creative Commons

Sushant Das

Опубликована: Янв. 19, 2024

Abstract. Global precipitation change in response to climate is closely related surface temperature, the forcing agent, and atmospheric dry energy budget, but regional more complex. In this study, we use experiments from Precipitation Driver Response Model Intercomparison Project (PDRMIP) wherein carbon dioxide, sulfate aerosols, black aerosols are perturbed study global contrast with over India. The warming dioxide increases both globally regionally, whereas cooling aerosol leads a reduction cases. however, decrease increase of mechanism increased heating driving stronger monsoon circulation low-level winds. This intensification Indian is, somewhat surprisingly, for emissions than when limited those Asian region. Overall, our presents heterogeneity responses at levels potential underlying physical processes under variety forcings that would be useful designing further model higher spatial resolution.

Язык: Английский

Global Precipitation for the Year 2023 and How It Relates to Longer Term Variations and Trends DOI Creative Commons
Robert F. Adler, Guojun Gu

Atmosphere, Год журнала: 2024, Номер 15(5), С. 535 - 535

Опубликована: Апрель 27, 2024

In this paper, the global distribution of precipitation for 2023, in terms totals and regional anomaly patterns, is analyzed using information from new Global Precipitation Climatology Project (GPCP) V3.2 Monthly product, including how amounts patterns 2023 fit into longer record 1983–2023. The tropical pattern anomalies dominated by effect El Nino which began during Northern Hemisphere spring, after three plus years La Nina conditions. transition conditions through 2022 shows rapid change many features positive to negative or reverse. Comparison observed trend maps with climate model results indicates similarity between observations forced SSTs, while “free-running” ensemble only a broad general agreement over large regions. total about 3% range span data, prominent as features, showing small anomaly. ITCZ (Inter-Tropical Convergence Zone) latitude band, 0–10° N, sets high mean rain rate steady upward decades, probably response related warming.

Язык: Английский

Процитировано

1

Unveiling Precipitation Trend Characteristics in Changing Poorly-gauged Regions: Leveraging Alternative Raster Sources DOI
Milad Nouri

Water Resources Management, Год журнала: 2024, Номер unknown

Опубликована: Ноя. 22, 2024

Язык: Английский

Процитировано

1

Seventy‐Year Trends in Ship‐Reported Oceanic Precipitation Frequency DOI Creative Commons
Grant W. Petty, Harrison K Tran

Geophysical Research Letters, Год журнала: 2023, Номер 50(14)

Опубликована: Июль 20, 2023

Abstract Ship present‐weather reports from 1950 to 2019 are used assess trends in the reporting of precipitation occurrence over global oceans. Annual reported frequency shows statistically significant positive up ∼15% per decade throughout most ocean areas equatorward 45°. However, latitudes poleward 45° dominated by negative trends, some which meet 95% confidence threshold. Nine smaller regions were subjectively selected for further investigation, revealing that observed both and negative, often but not always nearly linear, with amplitude interannual fluctuations usually being much larger than expected random sampling error alone. The annual time series reveal four comparatively dry associated largest overall ranging 8.3% 12.8% (relative) decade. Trends also computed separately each season, remarkable consistency across seasons.

Язык: Английский

Процитировано

2

Historical Evolution and Future Trends of Precipitation Based on Integrated Datasets and Model Simulations of Arid Central Asia DOI Creative Commons
Bo Xie, Hui Guo, Fanhao Meng

и другие.

Remote Sensing, Год журнала: 2023, Номер 15(23), С. 5460 - 5460

Опубликована: Ноя. 22, 2023

Earth system models (ESMs) are important tools for assessing the historical characteristics and predicting future of precipitation, yet quantitative understanding how these land–atmospheric coupling perform in simulating precipitation remains limited. This study conducts a comprehensive evaluation changes simulated by 43 ESMs CMIP5 32 CMIP6 Arid Central Asia (ALL) its two sub-regions 1959–2005 with reference to Climate Research Unit (CRU) data, predicts 2054–2100. Our analyses suggest following: (a) no single model consistently outperformed others all aspects variability (annual averages, long-term trends, climatological monthly patterns); (b) simulations tended overestimate average annual most ALL region, especially Xinjiang Uygur Autonomous Region China (XJ); (c) projected stronger increasing trend precipitation; (d) although reasonably captured there was an underestimation; (e) compared CMIP5, exhibited enhanced capacity simulate across aspects, discrepancies persisted individual sub-regions; (f) it confirmed that multi-model ensemble mean (MME) provides more accurate representation three majority single-model simulations. Lastly, values predicted efficient region under different scenarios showed seasons. Notably, strongest seen high-emission scenarios.

Язык: Английский

Процитировано

1

Reply on RC1 DOI Creative Commons

Sushant Das

Опубликована: Янв. 19, 2024

Abstract. Global precipitation change in response to climate is closely related surface temperature, the forcing agent, and atmospheric dry energy budget, but regional more complex. In this study, we use experiments from Precipitation Driver Response Model Intercomparison Project (PDRMIP) wherein carbon dioxide, sulfate aerosols, black aerosols are perturbed study global contrast with over India. The warming dioxide increases both globally regionally, whereas cooling aerosol leads a reduction cases. however, decrease increase of mechanism increased heating driving stronger monsoon circulation low-level winds. This intensification Indian is, somewhat surprisingly, for emissions than when limited those Asian region. Overall, our presents heterogeneity responses at levels potential underlying physical processes under variety forcings that would be useful designing further model higher spatial resolution.

Язык: Английский

Процитировано

0