the effect of sea surface temperature and 2m air temperature on precipitation events in the southern coasts of caspian sea
Authors
abstract
there are a number of ideas to generate cloud and precipitation in the southern coasts of caspian sea, but none of them explain the cause of precipitation particularly heavy and super heavy precipitations precisely. this study describes main thermodynamic factors when the situation and location of synoptic patterns are effective. on the basis of daily data, monthly regimes and monthly trends of the sea surface temperature (sst), difference between 2m air temperature and sst over the caspian sea as well as the sst gradients in different distances on latitude and its anomaly were calculated. for recognition of synoptic conditions, humidity advection, geopotential and sea level pressure maps were drawn. the results showed that there are three thermodynamic factors over the caspian sea to produce precipitation particularly from september to december. the first factor is arrangement and well organized of the sst gradients as it decreases from the south to the north of caspian sea. also, the sst over the sea must be enough warm to produce clouds and precipitation. the last factor is the difference between 2m air temperature and sst. when the synoptic patterns in different pressure levels are suitable for instability, the air-sea interaction process is the most important factor to produce the advection humidity, clouds and precipitation particularly heavier precipitation events in the north of iran.
similar resources
the effect of taftan pozzolan on the compressive strength of concrete in the environmental conditions of oman sea (chabahar port)
cement is an essential ingredient in the concrete buildings. for production of cement considerable amount of fossil fuel and electrical energy is consumed. on the other hand for generating one tone of portland cement, nearly one ton of carbon dioxide is released. it shows that 7 percent of the total released carbon dioxide in the world relates to the cement industry. considering ecological issu...
The pattern determination of sea surface temperature distribution and chlorophyll a in the Southern Caspian Sea using SOM Model
Remote sensing has changed modern oceanography by proving synoptic periodic data which can be processed. Since the satellite data are usually too much and nonlinear, in most cases, it is difficult to distinguish the patterns from these images. In fact, SOM (Self-Organizing Maps) model is a type of ANN (Artificial Neural Network) that has the ability to distinguish the efficient patterns from th...
full textThe pattern determination of sea surface temperature distribution and chlorophyll a in the Southern Caspian Sea using SOM Model
Remote sensing has changed modern oceanography by proving synoptic periodic data which can be processed. Since the satellite data are usually too much and nonlinear, in most cases, it is difficult to distinguish the patterns from these images. In fact, SOM (Self-Organizing Maps) model is a type of ANN (Artificial Neural Network) that has the ability to distinguish the efficient patterns from th...
full textTrend of the Caspian Sea surface temperature changes
The interaction between sea and atmosphere has profound effects on the regions climate. Meanwhile, the sea surface temperature is considered as one of the most effective components of water bodies, and the controller of many atmospheric behaviors. Because of the importance of sea surface temperatures effects on atmospheric elements and also given the role of global warming on land and sea surfa...
full texttemporal and spatial analysis of precipitation events in the southern coasts of caspian sea
to identify temporal and spatial precipitation models in the southern coasts of caspian sea, principle component analysis (pca) and clustering analysis (ca) were used. in this study, using daily precipitation data, measure of central tendency, statistical dispersion and percentages of three variables of duration, amount and intensity of precipitation events in 46 synoptic, climatic and rain gau...
full textThe Trend Analysis and Forecasting of Extreme Temperature Parameters in southern part of the Caspian Sea
Increasing CO2 emissions and consequently, air temperature causes climate anomalies which affects all the aspects of human life. The purpose of this study was to assess the temperature changes and also to predict the extreme temperatures in Gilan and Mazandaran Provinces. To do this, the SDSM statistical and dynamical model was used. As well, it was applied the Mann-Kendal graphical and statist...
full textMy Resources
Save resource for easier access later
Journal title:
ecopersiaPublisher: tarbiat modares university
ISSN 2322-2700
volume 1
issue 4 2013
Keywords
Hosted on Doprax cloud platform doprax.com
copyright © 2015-2023