Warming triggers snowfall fraction loss Thresholds in High-Mountain Asia

npj Climate and Atmospheric Science, Journal Year: 2025, Volume and Issue: 8(1)

Published: Feb. 17, 2025

Global warming is accelerating climate disasters by triggering tipping points in various Earth systems. Although changes precipitation patterns High-Mountain Asia (HMA) have been extensively studied, the specific thresholds that trigger rapid snowfall loss remain unclear. A continuous piecewise linear regression model was employed to classify HMA into four distinct regimes: insensitive snowfall-dominated areas, sensitive rainfall-dominated and areas. Our results show future will increase sensitivity of winter spring change, whereas summer autumn become less sensitive. All regimes exhibit an upward shift higher elevations, with varying rates elevation gain across regions seasons. Temperature primary driver loss, relative humidity mitigates it. This study identifies high-risk areas vulnerable help guide development effective mitigation strategies.

Language: Английский

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Evaluation of IMERG and ERA5 Precipitation-Phase Partitioning on the Global Scale

Water, Journal Year: 2022, Volume and Issue: 14(7), P. 1122 - 1122

Published: March 31, 2022

The precipitation phase (i.e., rain and snow) is important for the global hydrologic cycle climate system. objective of this study to evaluate precipitation-phase partitioning capabilities remote sensing reanalysis modeling methods on scale. Specifically, observation data from National Centers Environmental Prediction (NCEP) Automated Data Processing (ADP), 2000 2007, are used rain–snow discrimination accuracy Integrated Multi-Satellite Retrievals Global Precipitation Measurement (IMERG) fifth-generation product European Centre Medium Range Weather Forecasts (ERA5). results show that: (1) ERA5 performs better than IMERG at distinguishing rainfall snowfall events, overall. (2) has high in all continents except South America, while well only Antarctica North America. (3) Compared with IMERG, can more effectively capture events latitudes but shows worse performance mid-low latitude regions. Both have lower under heavy precipitation. Overall, provide references application improvement products.

Language: Английский

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Decreasing trends of mean and extreme snowfall in High Mountain Asia

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 921, P. 171211 - 171211

Published: Feb. 24, 2024

Language: Английский

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Evaluation of multiple gridded snowfall datasets using gauge observations over high mountain Asia

Journal of Hydrology, Journal Year: 2023, Volume and Issue: 626, P. 130346 - 130346

Published: Oct. 18, 2023

Language: Английский

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The shifts of precipitation phases and their impacts

Science China Earth Sciences, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 3, 2025

Language: Английский

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Evaluation and comparison of separated precipitation types from multi-sources data in the Chinese Tianshan mountainous region

Journal of Mountain Science, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 30, 2025

Language: Английский

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Inconsistent response patterns of snow cover duration and snow depth over the Tibetan Plateau to global warming

Advances in Climate Change Research, Journal Year: 2025, Volume and Issue: unknown

Published: March 1, 2025

Language: Английский

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An intercomparison of empirical schemes for partitioning precipitation phase

Journal of Hydrology Regional Studies, Journal Year: 2024, Volume and Issue: 53, P. 101757 - 101757

Published: April 3, 2024

Precipitation phase in China has changed with global warming, and accurate partitioning of the precipitation is crucial for understanding hydrological processes energy balance. Based on a 36-year daily meteorological dataset from Meteorological Administration, this study conducted comprehensive evaluation six empirical methods estimating nationwide explored applicability distinction across different meteorological, topographic geographic categories. These utilized inputs air temperature, two variants incorporating relative humidity, encompassed range combined non-linear temperature hydrometeor to more simple threshold methods. Methods implementing functions without thresholds performed better than those relying solely thresholds. The exponential humidity exhibited best performance, while only worst overall performance. Optimal were identified recommended under scenarios (i.e., multivariate parameters, regions). rain–precipitation ratio significant increasing trend, stations showing an increase primarily concentrated three major snow-covered areas, west vicinity "Hu Huanyong Line". This can be applied other regions offers valuable insights analyzing data developing models.

Language: Английский

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Observations of the Microphysics and Type of Wintertime Mixed-Phase Precipitation, and Instrument Comparisons at Sorel, Quebec, Canada

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(6), P. 945 - 945

Published: March 7, 2025

Winter mixed-phase precipitation (P) impacts transportation, electric power grids, and homes. Forecasting winter such as freezing (ZP), rain (ZR), drizzle (ZL), ice pellets (IPs), the snow (S) (R) boundary remains challenging due to complex cloud microphysical dynamical processes involved, which are difficult predict with current numerical weather prediction (NWP) models. Understanding these based on observations is crucial for improving NWP To aid this effort, Environment Climate Change Canada deployed specialized instruments Vaisala FD71P OTT PARSIVEL disdrometers, measure P type (PT), particle size distributions, fall velocity (V). The liquid water content (LWC) mean mass-weighted diameter (Dm) were derived data during ZP events. Additionally, a Micro Rain Radar (MRR) an Pluvio2 gauge used part of Precipitation Type Research Multi-Scale Experiment (WINTRE-MIX) field campaign at Sorel, Quebec. dataset included manual measurements equivalent (SWE), PT, radiosonde profiles. analysis revealed that generally agreed in detecting However, tended overestimate ZR underestimate IPs, while showed superior detection R, ZR, S. Conversely, performed better identifying ZL. These discrepancies may stem from uncertainties velocity–diameter (V-D) relationship diagnose IPs. Observations MRR, radiosondes, surface linked IP events melting layers (MLs). associated colder temperatures (Ts) compared Most ZL occurrences characterized by light low LWC specific intensity Dm thresholds. more common warmer T under relative humidity conditions. significantly underestimated snowfall optical probes measurements. estimates data, adjusted density account riming effects, closely matched observations.

Language: Английский

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Centralized and Decentralized Approach to Monsoon Precipitation Forecasting in Pakistan

VFAST Transactions on Software Engineering, Journal Year: 2025, Volume and Issue: 13(1), P. 72 - 87

Published: March 4, 2025

Rainfall, is one of the most important meteorological factors that affects many parts our everyday lives including crop productivity, water quality, livestock availability, hydroelectric power generation to name a few. Rainfall prediction can significantly contribute boosting economy by enabling better planning, risk management, and resource allocation in various industrial sectors. In this study, forty years monsoon precipitation data gathered for 39 stations across five zones Pakistan. We propose multi-step Long Short-Term Memory (LSTM)-based model capable forecasting Monsoon yearly data. Three LSTM models stack, bidirectional convolutional are applied on dataset performance these analysed using centralized decentralized approach. It observed RMSE score strategy was found than approach, whereby 100% had lower as compared one. Moreover, approach 78.7% different exhibited R2 > 0.9 values indicating general fit model.

Language: Английский

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