scholarly journals Study of laws of spatial variation of the mean air temperature for the growing season on the territory of the Crimean Peninsula

2020 ◽  
pp. 120-124
Author(s):  
Евгений Александрович Рыбалко ◽  
Наталья Валентиновна Баранова ◽  
Виктория Юрьевна Борисова ◽  
Валерий Семенович Петров
Keyword(s):  
Spatial Distribution ◽  
Spatial Variation ◽  
Air Temperature ◽  
Growing Season ◽  
Reference Points ◽  
Weather Station ◽  
Crimean Peninsula ◽  
The Mean ◽  
The Crimean Peninsula

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.

Long-term air temperature variability on the Crimean Peninsula

2017 ◽  
Vol 38 (1) ◽  
pp. 86-92
Author(s):  
V. M. Fedorov ◽  
R. V. Gorbunov ◽  
T. Yu. Gorbunova ◽  
N. K. Kononova
Keyword(s):  
Air Temperature ◽  
Temperature Variability ◽  
Crimean Peninsula ◽  
The Crimean Peninsula

scholarly journals Spatial variation regularities of hydrothermal coefficient of Selyaninov in the Crimean Peninsula conditions

2020 ◽  
pp. 320-325
Author(s):  
Евгений Александрович Рыбалко ◽  
Наталья Валентиновна Баранова ◽  
Виктория Юрьевна Борисова
Keyword(s):  
Spatial Variation ◽  
Global Climate Model ◽  
Growing Season ◽  
Information Modeling ◽  
Separate Analysis ◽  
Crimean Peninsula ◽  
Hydrothermal Coefficient ◽  
Version 2.0 ◽  
Sum Of Active Temperatures ◽  
The Crimean Peninsula

Целью исследования является изучение закономерностей пространственного варьирования гидротермического коэффициента за вегетационный период в условиях Крымского полуострова. Исследования проводились на базе сектора агроэкологии, материалами послужили электронная модель рельефа SRTM-3 территории Крымского полуострова и многолетние данные наблюдений метеостанций. Для оценки условий увлажнения зон выращивания винограда использован гидротермический коэффициент Г.Т.Селянинова (ГТК). Для анализа закономерностей пространственного распределения ГТК использован подход раздельного анализа закономерностей варьирования двух слагающих данный коэффициент факторов - суммы активных температур выше 10 °С и суммы осадков за период со среднесуточной температурой выше 10 °С. Разработанные ранее модели, описывающие распределение суммы активных температур, изучены в большей степени, по сравнению с моделями пространственного распределения количества осадков, по этой причине рассматривался только вопрос разработки последних. За основу работы была взята глобальная климатическая модель WorldClim version 2.0. Используя помесячные данные этой модели, были рассчитаны для каждой из анализируемых опорных точек величины сумм осадков за вегетационный период и произведено сравнение с фактическими величинами. В качестве альтернативы была построена также линейная многофакторная модель, включающая в качестве независимых переменных географическую широту и абсолютную высоту над уровнем моря. В результате проведенного геоинформационного моделирования на основании модели, показавшей наибольшую точность, построена цифровая крупномасштабная карта пространственного распределения величины ГТК на территории Крымского полуострова. The aim of research is to study regularities of spatial variation of the hydrothermal coefficient during the growing season in the conditions of the Crimean Peninsula. The studies were carried out on the basis of Agroecology Sector. Digital elevation model SRTM-3 of the Crimean Peninsula territory and long-term observations of meteorological stations functioned as study materials. To assess the moisture conditions of grape cultivation zones the hydrothermal coefficient of G. T. Selyaninov (HTC) was used. To analyze the regularities of spatial distribution of HTC, we used the approach of separate analysis of variation laws of two composing factors - the sum of active temperatures above 10 ° C and the sum of precipitation for a period with an average daily temperature above 10 ° C. Previously developed models describing the distribution of the sum of active temperatures were studied to a greater extent in comparison with models of dimentional distribution of precipitation. For this reason only the issue of developing the latter was considered. The work was based on the global climate model WorldClim version 2.0. Using the monthly data of the model, for each of the analyzed control points, the amount of precipitation for the growing season was calculated and compared with the actual values. As an alternative, a linear multifactor analog, including latitude and altitude as independent variables, was also constructed. As a result of geographic information modeling carried out on the basis of the model showed the highest accuracy, a digital large-scale map of HTC value distribution on the territory of the Crimean Peninsula was built.

scholarly journals DISTRIBUTION OF THE MEAN MONTHLY AIR TEMPERATURE IN SEPTEMBER ON THE TERRITORY OF THE CRIMEAN PENINSULA

2021 ◽  
Vol 2 (68) ◽  
pp. 105-115
Author(s):  
Evgeniy Aleksandrovich Rybalko ◽  
◽  
Natalia Valentinovna Baranova ◽  
Viktoria Yurievna Borisova ◽  
◽  
...  
Keyword(s):  
Air Temperature ◽  
Crimean Peninsula ◽  
The Mean ◽  
The Crimean Peninsula

scholarly journals Distribution of the average monthly air temperature in August on the territory of the Crimean Peninsula

2021 ◽  
pp. 21-26
Author(s):  
Евгений Александрович Рыбалко ◽  
Наталья Валентиновна Баранова ◽  
Виктория Юрьевна Борисова ◽  
Валерий Семенович Петров
Keyword(s):  
Spatial Distribution ◽  
Air Temperature ◽  
Large Scale ◽  
Great Influence ◽  
Sugar Accumulation ◽  
Annual Data ◽  
Crimean Peninsula ◽  
Average Monthly Temperature ◽  
Monthly Temperature ◽  
The Crimean Peninsula

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.

scholarly journals Long-Term Trends in Air Temperature Distribution and Extremes, Growing Degree‐Days, and Spring and Fall Frosts for Climate Impact Assessments on Agricultural Practices in Nebraska

2012 ◽  
Vol 51 (11) ◽  
pp. 2060-2073 ◽  
Author(s):  
Kari E. Skaggs ◽  
Suat Irmak
Keyword(s):  
Air Temperature ◽  
Central City ◽  
Agricultural Practices ◽  
Growing Season ◽  
Growing Degree Days ◽  
Degree Days ◽  
Temperature Changes ◽  
Growing Season Length ◽  
Average Maximum

AbstractAir temperature influences agricultural practices and production outcomes, making detailed quantifications of temperature changes necessary for potential positive and negative effects on agricultural management practices to be exploited or mitigated. Temperature trends of long-term data for five agricultural locations, ranging from the subhumid eastern to the semiarid western parts of Nebraska, were studied to determine local temperature changes and their potential effects on agricultural practices. The study quantified trends in annual and monthly average maximum and minimum air temperature (Tmax and Tmin), daily temperature range (DTR), total growing degree-days, extreme temperatures, growing‐season dates and lengths, and temperature distributions for five heavily agricultural areas of Nebraska: Alliance, Central City, Culbertson, Fremont, and Hastings. July and August were the months with the greatest decreases in Tmax for the central part of Nebraska—Culbertson, Hastings, and Central City. Alliance, Culbertson, and Fremont had year-round decreases in DTR. Central City and Hastings experienced growing‐season decreases in DTR. Increases in growing‐season length occurred at rates of 14.3, 16.7, and 11.9 days century−1 for Alliance, Central City, and Fremont, respectively. At Hastings, moderately earlier last spring frost (LS) at a rate of 6.6 days century−1 was offset by an earlier (2.7 days century−1) first fall frost (FF), resulting in only a 3.8 days century−1 longer growing season. There were only slight changes in LS and FF dates of around 2 days earlier and 1 day later per century, respectively, for Culbertson.

scholarly journals Long-term changes of weather stimuli based on the example of the southern part of Warsaw – Ursynów

2019 ◽  
Vol 28 (1) ◽  
pp. 25-34
Author(s):  
Katarzyna Rozbicka ◽  
Martyna Zawistowska
Keyword(s):  
Thermal Stress ◽  
Air Temperature ◽  
Significant Trend ◽  
Weather Station ◽  
Average Daily Temperature ◽  
Average Maximum ◽  
Long Term Changes ◽  
Frequency Changes ◽  
Thermal Stimuli

The aim of the work is to evaluate thermal sensations based on the average daily temperature of air and to determine thermal stimuli, using interdependent variability of air temperature (average, maximum and minimum). The data from the weather station Ursynów – SGGW was used for the analysis in the period 1961–2016. The analysis showed that with the highest frequency (74%) there are thermal sensations “saving” (“slightly cold”, “cool”, “warm”). In the case of thermal stimuli with the greatest frequency, changes from day to day were described as “neutral”, not exceeding 2°C . Based on the analysis of the long-term period trend of the number of days in the year, it can be stated an increase in the number of days with the thermal stress “very warm”, which is results from a positive statistically significant trend and also a decrease in number of days with thermal stimuli “sharp”.

scholarly journals SPATIAL DISTRIBUTION OF THE SURFACE SLOPE WITHIN THE LANDSCAPES OF THE CRIMEAN PENINSULA

2021 ◽  
pp. 135-145
Author(s):  
V. A. Tabunshchik
Keyword(s):  
Spatial Distribution ◽  
Descriptive Statistics ◽  
Surface Slope ◽  
Crimean Peninsula ◽  
Average Value ◽  
Minimum Value ◽  
Maximum Value ◽  
First Time ◽  
The Crimean Peninsula

The paper presents new data on the slope of the surface of the territory of the Crimean Peninsula in the context of landscape taxonomic units according to the landscape-typological map of the Crimean polostrov by G. E. Grishankov. For the first time, for the Crimean Peninsula as a whole and landscape taxonomic units – landscape levels, landscape zones, landscape belts and tiers, as well as groups of localities (okoems), elements of descriptive statistics (minimum value, maximum value, average value, median value, as well as the value of the amplitude of values (factor amplitude)) that characterize the slope of the surface within the specified territories are quantitatively calculated

scholarly journals SPATIAL DISTRIBUTION OF ANNUAL RAINFALL IN BOSNIA AND HERZEGOVINA USING SPATIAL KRIGING INTERPOLATOR

2015 ◽  
Vol 36 ◽  
pp. 95-107
Keyword(s):  
Spatial Distribution ◽  
Bosnia And Herzegovina ◽  
Air Temperature ◽  
High Spatial Resolution ◽  
Annual Rainfall ◽  
Mean Annual Precipitation ◽  
Climate Research ◽  
The Mean ◽  
Meteorological Elements ◽  
General Climate

Precipitation and air temperature are the basic meteorological elements in the climate research, indicating and influencing the general characteristics of the atmospheric circulation by their spatiotemporal dynamics, determinating the general climate character of the location. In this paper, the interpretation of the pluviometric regime in Bosnia and Herzegovina will be based on quantitative parameters of the horizontal spatial distribution of the mean annual precipitation sums resulting by applying GIS based kriging spatial interpolator. The results of research have shown the annual pluviometric GRID for Bosnia and Herzegovina of high spatial resolution enabling, beside the horizontal spatial distribution, the production of the detailed transverse and longitudinal pluviometric profiles.

scholarly journals Analysis of dynamics for anomalies of the ice cover in the Okhotsk Sea in the period from 1882 to 2015

2016 ◽  
Vol 185 (2) ◽  
pp. 228-239
Author(s):  
Vladimir M. Pishchalnik ◽  
Valery A. Romanyuk ◽  
Igor G. Minervin ◽  
Alevtina S. Batuhtina
Keyword(s):  
Time Series ◽  
Air Temperature ◽  
Regime Shift ◽  
Ice Cover ◽  
Satellite Observations ◽  
Okhotsk Sea ◽  
Ice Conditions ◽  
The Mean ◽  
Analysis Of Dynamics

The time-series for the ice cover dynamics in the Okhotsk Sea in the period from 1882 to 2015 are reconstructed on the base of shipboard, airborne, and satellite observations and measurements of the air temperature at the coastal meteorological stations. Abnormality of the ice conditions is estimated relative to the “climate norm” determined as the mean seasonal variation for the 1961-1990. Long-term variability of the ice cover is analyzed. Its regime shift with change of trend is revealed in the late 1970s - early 1980s that corresponds to the regime shift of the air temperature variability in the northern hemisphere.

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