The Long-Term Transformation of Nature and Changes in the Atmospheric Moisture Supply of the European Part of the USSR

1964 ◽  
Vol 5 (3) ◽  
pp. 52-60
Author(s):  
S. I. Zhakov
2021 ◽  
pp. 21-30
Author(s):  
A. S. ISAEV ◽  

The aim of the study is to study the possibility of obtaining agricultural products from non-irrigated lands in arid climatic conditions of mountain areas, depending on the natural moisture supply. The possibility of assessing the natural moisture supply on the basis of average long-term precipitation, conditional indicators of annual natural atmospheric moisture and the water balance equation is considered. However, with current hydrological knowledge of the Sanaa basin area in the absence of the necessary data for calculating the water balance of the productive soils, there is proposed the a methodology for assessment of components of water balance and calculation of natural moisture provision of arable landson the level of «black box» with an accuracy sufficient for assessment of land productivity under natural moistening and a possibility of intensification of dry farming.


2016 ◽  
Vol 2016 ◽  
pp. 1-18 ◽  
Author(s):  
Xia Feng ◽  
Paul Houser

In this study, we developed a suite of spatially and temporally scalable Water Cycle Indicators (WCI) to examine the long-term changes in water cycle variability and demonstrated their use over the contiguous US (CONUS) during 1979–2013 using the MERRA reanalysis product. The WCI indicators consist of six water balance variables monitoring the mean conditions and extreme aspects of the changing water cycle. The variables include precipitation (P), evaporation (E), runoff (R), terrestrial water storage (dS/dt), moisture convergence flux (C), and atmospheric moisture content (dW/dt). Means are determined as the daily total value, while extremes include wet and dry extremes, defined as the upper and lower 10th percentile of daily distribution. Trends are assessed for annual and seasonal indicators at several different spatial scales. Our results indicate that significant changes have occurred in most of the indicators, and these changes are geographically and seasonally dependent. There are more upward trends than downward trends in all eighteen annual indicators averaged over the CONUS. The spatial correlations between the annual trends in means and extremes are statistically significant across the country and are stronger forP,E,R, andCcompared todS/dtanddW/dt.


2018 ◽  
Vol 31 (6) ◽  
pp. 2389-2398 ◽  
Author(s):  
Angela Kao ◽  
Xun Jiang ◽  
Liming Li ◽  
James H. Trammell ◽  
Guang J. Zhang ◽  
...  

Precipitation and column water vapor data from 13 CMIP5 models and observational datasets are used to analyze atmospheric moisture recycling rate from 1988 to 2008. The comparisons between observations and model simulations suggest that most CMIP5 models capture two main characteristics of the recycling rate: 1) long-term decreasing trend of the global-average maritime recycling rate (atmospheric recycling rate over ocean within 60°S–60°N) and 2) dominant spatial patterns of the temporal variations of the recycling rate (i.e., increasing in the intertropical convergence zone and decreasing in subtropical regions). All models, except one, successfully simulate not only the long-term trend but also the interannual variability of column water vapor. The simulations of precipitation are relatively poor, especially over the relatively short time scales, which lead to the discrepancy of the recycling rate between observations and the CMIP5 models. Comparisons of spatial patterns also suggest that the CMIP5 models simulate column water vapor better than precipitation. The comparative studies indicate the scope of improvement in the simulations of precipitation, especially for the relatively short-time-scale variations, to better simulate the recycling rate of atmospheric moisture, an important indicator of climate change.


2008 ◽  
Vol 136 (4) ◽  
pp. 1554-1561 ◽  
Author(s):  
Rezaul Mahmood ◽  
Kenneth G. Hubbard ◽  
Ronnie D. Leeper ◽  
Stuart A. Foster

Abstract Land use change can significantly affect root zone soil moisture, surface energy balance, and near-surface atmospheric temperature and moisture content. During the second half of the twentieth century, portions of the North American Great Plains have experienced extensive introduction of irrigated agriculture. It is expected that land use change from natural grass to irrigated land use would significantly increase near-surface atmospheric moisture content. Modeling studies have already shown an enhanced rate of evapotranspiration from the irrigated areas. The present study analyzes observed dewpoint temperature (Td) to assess the affect of irrigated land use on near-surface atmospheric moisture content. This investigation provides a unique opportunity to use long-term (1982–2003) mesoscale Td data from the Automated Weather Data Network of the high plains. Long-term daily Td data from 6 nonirrigated and 11 irrigated locations have been analyzed. Daily time series were developed from the hourly data. The length of time series was the primary factor in selection of these stations. Results suggest increase in growing-season Td over irrigated areas. For example, average growing-season Td due to irrigation can be up to 1.56°C higher relative to nonirrigated land uses. It is also found that Td for individual growing-season month at irrigated locations can be increased up to 2.17°C by irrigation. Based on the results, it is concluded that the land use change in the Great Plains has modified near-surface moistness.


1995 ◽  
Vol 31 (2-4) ◽  
pp. 349-367 ◽  
Author(s):  
William P. Elliott

2020 ◽  
Vol 11 (2) ◽  
Author(s):  
Svetlana Morozova ◽  
Mariya Alimpieva

In present paper the expanding application possibility of physical-statistical methods in long-term forecast are viewed.A nonparametric discriminate analyzing model has been constructed on the South-East of EPR (European part ofRussia). The model is based on consideration of asynchronous bonds between the condition of circulating systems of theAtlantic-Eurasian hemisphere sector and the period of seasonal hydrotermeological events onset on South-East of ЕPR.This model allows distinguishing three cluster areas which associate with three phases of predicted event; commonly,only two cluster areas are distinguished. We would like to present results of predictions testing of training and controlsets. The conclusion of our model region appliance effectiveness is also represented in paper.


2017 ◽  
Author(s):  
Chi Zhang ◽  
Qiuhong Tang ◽  
Deliang Chen ◽  
Laifang Li ◽  
Xingcai Liu ◽  
...  

2007 ◽  
Vol 8 (4) ◽  
pp. 758-769 ◽  
Author(s):  
Kevin E. Trenberth ◽  
Lesley Smith ◽  
Taotao Qian ◽  
Aiguo Dai ◽  
John Fasullo

Abstract A brief review is given of research in the Climate Analysis Section at NCAR on the water cycle. Results are used to provide a new estimate of the global hydrological cycle for long-term annual means that includes estimates of the main reservoirs of water as well as the flows of water among them. For precipitation P over land a comparison among three datasets enables uncertainties to be estimated. In addition, results are presented for the mean annual cycle of the atmospheric hydrological cycle based on 1979–2000 data. These include monthly estimates of P, evapotranspiration E, atmospheric moisture convergence over land, and changes in atmospheric storage, for the major continental landmasses, zonal means over land, hemispheric land means, and global land means. The evapotranspiration is computed from the Community Land Model run with realistic atmospheric forcings, including precipitation that is constrained by observations for monthly means but with high-frequency information taken from atmospheric reanalyses. Results for E − P are contrasted with those from atmospheric moisture budgets based on 40-yr ECMWF Re-Analysis (ERA-40) data. The latter show physically unrealistic results, because evaporation often exceeds precipitation over land, especially in the Tropics and subtropics.


2020 ◽  
Author(s):  
Chiara Holgate ◽  
Jason Evans ◽  
Albert Van Dijk ◽  
Andy Pitman

<p>South East Australia is characterised by a diverse climate ranging from lush, temperate mountain ranges to hot and arid grasslands. The region is home to Australia's largest river system, the Murray-Darling. The Murray-Darling Basin is an important agricultural region, generating almost 50% of Australia's total irrigated agricultural production in 2018. Rainfall in this region is typically highly variable and subject to severe drought. The Millennium Drought (2001-2009), widely known as the worst drought on record and one of the most severe in the world, has now been superseded by a worse drought (2017-present), setting a new extreme in the drought record. During the current drought, rainfall, root zone soil moisture and water storages have reached record-breaking low levels. High temperatures have also broken historical records on multiple occasions since the drought began. Drought conditions and exceptionally high temperatures have dried the landscape, which has led to intense bushfires that have so far ravaged over 5 million hectares.</p><p>Yet the degree to which the land surface exacerbates drought in the Murray-Darling Basin remains unknown. In other words, the relative importance of local versus remote processes affecting rainfall, particularly during drought, is uncertain. Where does the moisture come from, and how strongly do local land surface processes attenuate or amplify this atmospheric moisture to affect local rainfall? Establishing the evaporative source regions that supply moisture for rainfall can help reveal the mechanisms driving anomalously low rainfall. In the case of drought, it can help reveal whether anomalous rainfall was due to a reduction in source evaporation, anomalous atmospheric circulation (i.e., the moisture was generated but transported somewhere else), land surface control on the atmosphere through feedbacks, or a combination of factors.</p><p>We used a Lagrangian back-trajectory approach to determine the long-term average evaporative source regions that supply Australia's rainfall, and the level of recycling that rainfall undergoes. The back-trajectory model tracked water vapour from the location of rainfall events backward in time and space and identified the evaporative origin. From this, we calculated the proportion of rainfall falling across the Murray-Darling Basin that originated as evapotranspiration from the Basin itself; that is, the rainfall recycling ratio.</p><p>By combining this long-term baseline of source region and rainfall recycling with anomalies of source region evaporation and local atmospheric boundary layer properties, we found that the drivers of low rainfall changed through time during the Millennium Drought. At the peak of the Drought the anomalously low rainfall was driven by a lack of atmospheric moisture advected from the identified typical source region; at other times the low rainfall was due to local conditions unfavorable for the precipitation of available moisture. Overall we found that land surface control on the atmosphere exacerbated the Millennium Drought by approximately 10%.</p>


2021 ◽  
Vol 38 ◽  
pp. 00122
Author(s):  
Tatyana Sokolova

The article presents the results of long-term research of ravine oak forests of the Rostov region.The term ‘bayrack’ (ravine) forest is associated with the growing of forests of this type on the slopes of ravines in the forest-steppe zone. The conducted ecological and floral classification showed a high syntaxonomic diversity of ravine oak forests of the region. Forest communities are represented by 6 associations: Scorzonero ensifoliae–Quercetum Sokolova ex Semenishchenkov 2020; Vicio pisiformis–Quercetum roboris Semenishchenkov 2012; Pyro pyrastri– Quercetum roboris Poluyanov 2012; Chamaecytiso ruthenici–Quercetum roboris Poluyanov 2012; Fritillario ruthenici-Quercetum roboris Onyschenko, Dyakova et Karpenko ex Goncharenko in Goncharenko et al. 2020, Melico pictae-Ulmetum minoris ass. nov. prov. from 2 classes: Carpino–Fagetea, Quercetea pubescentis and 2 unions: Aceri campestris-Quercion roboris and Scutellario altissimae-Quercion roboris. There are 67 rare plant species listed in the Red Books of the Rostov [1], Volgograd [2] and Voronezh [3] regions in the communities of these associations. Oak forests in the south of the European part of Russia significantly increase the biological diversity not only of the Don region, but also of the entire steppe zone of the country.


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