Effect of urbanization on the winter precipitation distribution in Beijing area

2009 ◽  
Vol 52 (2) ◽  
pp. 250-256 ◽  
Author(s):  
XiQuan Wang ◽  
ZiFa Wang ◽  
YanBin Qi ◽  
Hu Guo
Keyword(s):  
Winter Precipitation ◽  
Precipitation Distribution ◽  
Beijing Area

North Atlantic Oscillation; a Climatic Indicator to Predict Hydropower Availability in Scandinavia

2002 ◽  
Vol 33 (5) ◽  
pp. 415-424 ◽  
Author(s):  
Cintia B. Uvo ◽  
Ronny Berndtsson
Keyword(s):  
Climate Change ◽  
Spatial Distribution ◽  
Climate Variability ◽  
North Atlantic Oscillation ◽  
North Atlantic ◽  
Winter Precipitation ◽  
Model Driven ◽  
The World ◽  
Hydropower Production ◽  
Precipitation And Temperature

Climate variability and climate change are of great concern to economists and energy producers as well as environmentalists as both affect the precipitation and temperature in many regions of the world. Among those affected by climate variability is the Scandinavian Peninsula. Particularly, its winter precipitation and temperature are affected by the variations of the so-called North Atlantic Oscillation (NAO). The objective of this paper is to analyze the spatial distribution of the influence of NAO over Scandinavia. This analysis is a first step to establishing a predictive model, driven by a climatic indicator such as NAO, for the available water resources of different regions in Scandinavia. Such a tool would be valuable for predicting potential of hydropower production one or more seasons in advance.

Impact of jet stream and associated mechanisms on winter precipitation in Pakistan

2019 ◽  
Vol 132 (2) ◽  
pp. 225-238 ◽  
Author(s):  
Fayyaz Ahmed ◽  
Shahzada Adnan ◽  
Muhammad Latif
Keyword(s):  
Winter Precipitation ◽  
Jet Stream

Winter Precipitation and Summer Temperature Predict Lake Water Quality at Macroscales

2019 ◽  
Vol 55 (4) ◽  
pp. 2708-2721 ◽  
Author(s):  
S. M. Collins ◽  
S. Yuan ◽  
P. N. Tan ◽  
S. K. Oliver ◽  
J. F. Lapierre ◽  
...  
Keyword(s):  
Water Quality ◽  
Lake Water ◽  
Winter Precipitation ◽  
Summer Temperature ◽  
Lake Water Quality

scholarly journals Radar signatures of the urban effect on precipitation distribution: A case study for Atlanta, Georgia

2007 ◽  
Vol 34 (20) ◽  
Author(s):  
Thomas L. Mote ◽  
Matthew C. Lacke ◽  
J. Marshall Shepherd
Keyword(s):  
Urban Effect ◽  
Precipitation Distribution ◽  
Radar Signatures

scholarly journals Validation of CHIRPS Precipitation Estimates over Taiwan at Multiple Timescales

2021 ◽  
Vol 13 (2) ◽  
pp. 254 ◽  
Author(s):  
Jie Hsu ◽  
Wan-Ru Huang ◽  
Pin-Yi Liu ◽  
Xiuzhen Li
Keyword(s):  
Annual Cycle ◽  
Interannual Variation ◽  
Winter Precipitation ◽  
Monthly Precipitation ◽  
Precipitation Estimation ◽  
Precipitation Estimates ◽  
Precipitation Variation ◽  
Global Precipitation ◽  
Multiple Timescale ◽  
Better Than

The Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS), which incorporates satellite imagery and in situ station information, is a new high-resolution long-term precipitation dataset available since 1981. This study aims to understand the performance of the latest version of CHIRPS in depicting the multiple timescale precipitation variation over Taiwan. The analysis is focused on examining whether CHIRPS is better than another satellite precipitation product—the Integrated Multi-satellitE Retrievals for Global Precipitation Mission (GPM) final run (hereafter IMERG)—which is known to effectively capture the precipitation variation over Taiwan. We carried out the evaluations made for annual cycle, seasonal cycle, interannual variation, and daily variation during 2001–2019. Our results show that IMERG is slightly better than CHIRPS considering most of the features examined; however, CHIRPS performs better than that of IMERG in representing the (1) magnitude of the annual cycle of monthly precipitation climatology, (2) spatial distribution of the seasonal mean precipitation for all four seasons, (3) quantitative precipitation estimation of the interannual variation of area-averaged winter precipitation in Taiwan, and (4) occurrence frequency of the non-rainy grids in winter. Notably, despite the fact that CHIRPS is not better than IMERG for many examined features, CHIRPS can depict the temporal variation in precipitation over Taiwan on annual, seasonal, and interannual timescales with 95% significance. This highlights the potential use of CHIRPS in studying the multiple timescale variation in precipitation over Taiwan during the years 1981–2000, for which there are no data available in the IMERG database.

scholarly journals Investigation of Vorticity during Prevalent Winter Precipitation in Iran

2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Iman Rousta ◽  
Farshad Javadizadeh ◽  
Fatemeh Dargahian ◽  
Haraldur Ólafsson ◽  
Amin Shiri-Karimvandi ◽  
...  
Keyword(s):  
Cluster Analysis ◽  
High Pressure ◽  
Persian Gulf ◽  
Low Pressure ◽  
Winter Precipitation ◽  
Central Iran ◽  
Precipitation Data ◽  
East Europe ◽  
Precipitation Threshold ◽  
Dual Core

In this study, precipitation data for 483 synoptic stations, and the U&V component of wind and HGT data for 4 atmospheric levels were respectively obtained from IRIMO and NCEP/NCAR databases (1961–2013). The precipitation threshold of 1 mm and a minimum prevalence of 50% were the criteria based on which the prevalent precipitation of Iran was identified. Then, vorticity of days corresponding to prevalent winter precipitation was calculated and, by performing cluster analysis, the representative days of vorticity were specified. The results showed that prevalent winter precipitation vorticity in Iran is related to the vorticity patterns of low pressure of Mediterranean-low pressure of Persian Gulf dual-core, low pressure closed of central Iran-high pressure of East Europe, Ural low pressure-Middle East High pressure, Saudi Arabia low pressure-Europe high pressure, and high-pressure belt of Siberia-low pressure of central Iran. At the same time, the most intense vorticity occurred when the climate of Iran was influenced by a massive belt pattern of Siberian high pressure-low pressure of central Iran. However, at the time of prevalent winter precipitation in Iran, an intense vorticity is drawn with the direction of Northeast and Northwest from the center of Iraq to the south of Iran.

Sign in / Sign up

Export Citation Format

Share Document