2017 ◽  
Vol 38 (1) ◽  
pp. 86-92
Author(s):  
V. M. Fedorov ◽  
R. V. Gorbunov ◽  
T. Yu. Gorbunova ◽  
N. K. Kononova

2020 ◽  
pp. 120-124
Author(s):  
Евгений Александрович Рыбалко ◽  
Наталья Валентиновна Баранова ◽  
Виктория Юрьевна Борисова ◽  
Валерий Семенович Петров

В статье приведен анализ метеорологической информации по средней температуре воздуха за вегетационный период на территории Крымского полуострова. Рассчитано среднее многолетнее значение в точках расположения метеостанций с длинным рядом метеонаблюдений на территории Крымского полуострова. При расчетах использовали многолетние данные за 30 лет по 17 метеостанциям Крымского полуострова. Для моделирования пространственного распределения величины средней температуры воздуха на первом этапе также была выбрана глобальная климатическая модель WorldClim 2.0. На её основе рассчитаны величины исследуемого показателя для опорных точек. Произведена корректировка данных модели WorldClim 2.0 путём прибавления к результатам расчёта поправки 0,99, что несколько повысило точность моделирования. Составлена также линейная многофакторная модель, учитывающая географическую широту местности и абсолютную высоту над уровнем моря. Установлено, что в зависимости от географического положения метеостанции значения средних многолетних температур воздуха составляют от 17,9 °С (Белогорск) до 20,0 °С (Феодосия, Ялта). Проанализированы при помощи технологий геоинформационного моделирования закономерности пространственного варьирования величины средней температуры. В результате проведенного анализа были получены модели, описывающие данные закономерности. С помощью полученных моделей, разработана цифровая крупномасштабная картографическая модель пространственного распределения величины средней температуры воздуха, на основе которой на территории Крымского полуострова выделено 4 зоны. Разработанная модель, в сочетании с современными геоинформационными технологиями дает возможность автоматизировать анализ степени пригодности территории для возделывания винограда. The article provides the analysis of meteorological information of the mean air temperature for the growing season on the territory of the Crimean Peninsula. The long-term mean value in the points of weather station locations with a long series of weather observations on the territory of the Crimean Peninsula was calculated. For calculations we used the long-term data for 30 years on 17 weather stations of the Crimean Peninsula. To simulate the spatial distribution of the mean air temperature value at the first stage, the WorldClim 2.0 global climate model was also selected. The values of the studied parameter for reference points were calculated on its basis. The data of the WorldClim 2.0 model was adjusted by adding an error correction of 0.99 to the results of calculation, which slightly increased the modeling accuracy. A linear multivariate model was also compiled, taking into account the geographical latitude of the terrain and the absolute height above sea level. It was established that, depending on the geographical location of the weather station, the values of long-term mean air temperatures range from 17.9 ° C (Belogorsk) to 20.0 ° C (Feodosia, Yalta). The patterns of spatial variation of the mean temperature were analyzed using the technologies of geoinformation modeling. Models describing these patterns were obtained as a result of the analysis. Using the models received, a digital large-scale cartographic model of the spatial distribution of the mean air temperature was developed. On its basis 4 zones on the territory of the Crimean Peninsula were allocated. The developed model, in combination with modern geoinformation technologies, makes it possible to automate the analysis of fitness degree of the territory for grapes cultivating.


2021 ◽  
Vol 2 (68) ◽  
pp. 105-115
Author(s):  
Evgeniy Aleksandrovich Rybalko ◽  
◽  
Natalia Valentinovna Baranova ◽  
Viktoria Yurievna Borisova ◽  
◽  
...  

Author(s):  
Евгений Александрович Рыбалко ◽  
Наталья Валентиновна Баранова ◽  
Виктория Юрьевна Борисова ◽  
Валерий Семенович Петров

Оригинальное исследование по изучению распределения среднемесячной температуры в августе на территории Республики Крым проведено сотрудниками сектора агроэкологии. Неоднократно доказывалось, что температура воздуха оказывает большое влияние на рост, развитие и качественные показатели виноградного растения. Особое влияние на качество урожая оказывает температура воздуха в августе, так как именно в этот период наблюдается лучшая ассимиляция углерода листьями и соответственно происходит накопление сахаров и уменьшение кислотности. В качестве материалов были использованы электронная модель рельефа SRTM-3 территории Крымского полуострова и многолетние данные метеонаблюдений по 17 метеостанциям Крыма и Севастополя за 1985-2019 гг. Для моделирования пространственного распределения величины среднемесячной температуры воздуха в августе были использованы три математические модели, в том числе одна авторская. На основании полученных результатов была построена цифровая крупномасштабная карта пространственного распределения среднемесячной температуры воздуха в августе на территории Крымского полуострова и выделено 5 зон по среднемесячной температуре в августе. Использование данных моделей в ГИС (геоинформационная система) дает возможность автоматизировать анализ степени пригодности территории для возделывания винограда. The original study on the distribution of the average monthly temperature in August on the territory of the Republic of Crimea was carried out by staff scientists of the Agroecology Sector. It has been proven many times that air temperature has a great influence on the growth, development and quality indicators of a grape plant. Air temperature in August has a special effect on a crop quality, since it is during this very period the best assimilation of carbon by leaves is observed, resulting in sugar accumulation and acidity decrease. The materials used were the SRTM-3 digital terrain model of the Crimean Peninsula and long-term average annual data of meteorological observations in 17 meteorological stations of Crimea and Sevastopol for the period of 1985-2019. To model spatial distribution of the average monthly air temperature in August, three mathematical models, including one authorial, were used. Digital large-scale map of spatial distribution of the average monthly air temperature in August on the territory of the Crimean Peninsula was compiled basing on the results obtained. Five zones were identified according to the average monthly temperature in August. Using of these models in GIS (geoinformation system) makes it possible to computerize the analysis of applicability of the territory for grape cultivation.


2020 ◽  
Vol 169 ◽  
pp. 03007
Author(s):  
Roman Gorbunov

The work proposes a methodology for studying the productivity dynamics of forest ecosystems based on remote sensing data. The possibility of using the NDVI vegetation index to study the interannual variability in productivity of regional ecosystems is shown. The long-term productivity dynamics of oak forests of the Crimean Peninsula is analyzed. On the basis of the data series obtained, the periods characterized by peculiarities of the productivity dynamics of forest ecosystems are identified.


2021 ◽  
Vol 11 (3) ◽  
pp. 397-405
Author(s):  
L.S. Banshchikova ◽  
◽  
A.E. Sumachev ◽  

The paper considers the long-term spatial and temporal air temperature variability on the Kola Peninsula according to 26 hydro-meteorological stations and the ice regime of rivers according to 13 hydrological stations for 1950—2018 (base period 1950—1980, and control period 1981—2018). The cold season of the year on the Kola Peninsula lasts from October to the first decade of May, the average temperature for the season is –6.2°C. The average increase in air temperature during the cold season was 1.1 °C.


2002 ◽  
Vol 35 ◽  
pp. 157-161 ◽  
Author(s):  
Wolfgang Schöner ◽  
Ingeborg Auer ◽  
Reinhard Böhm ◽  
Lothar Keck ◽  
Dietmar Wagenbach

AbstractSpatial correlations between Alpine high-elevation and European low-elevation instrumental air temperatures are computed to assess the spatial representativity of a high-Alpine ice-core isotope proxy temperature record. the correlation analyses indicate that air-temperature records at Alpine ice-core drill sites are representative for central Europe, particularly in summer. While Alpine ice cores generally show a large scattering in the conserved section of the year, long-term records from low-accumulation sites consist almost solely of summer precipitation and thus reflect isotope proxy summer-temperature variability. However, correlation between seasonal and annual instrumental air temperature indicates that summer temperature variability provides an adequate approach to annual temperature variability. Comparison of long-term ice-core δ18O records from Colle Gnifetti (4450ma.s.l.), Monte Rosa, Western Alps, with local instrumental summer temperatures inferred from an instrumental network shows good agreement in the long-term scale. Thus Alpine long-term ice-core δ18O records are representative for central European air-temperature variability.


2020 ◽  
Vol 10 (3) ◽  
pp. 370-383
Author(s):  
Roman V. Gorbunov ◽  
Tatiana Yu. Gorbunova ◽  
Anna V. Drygval ◽  
Vladimiir A. Tabunshchik

The article presents the results of spatial and temporal dynamics research of the air temperature fields on the territory of the Crimean Peninsula due to the change of circulation epochs and periods of the Northern Hemisphere. Average multiannual maps of air temperature on the Crimean Peninsula for each circulating epoch and period were obtained, as well as maps of temperature fields dynamics at their change. Based on the obtained analysis of the maps it was found out that change in air temperature occurred not synchronously, but had its own characteristics in different regions of the Crimean Peninsula, which is explained by the influence of local factors. Zones characterized by constant maximum air temperatures in all considered periods have been recorded. It was found that during the instrumental observations on the Crimean Peninsula the warming occurred by 1 °C. This warming was occurring during the last circulation period.


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