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 Long-term changes in the susceptibility of corals to thermal stress around Phuket, Thailand

2017 ◽  
Author(s):  
Lalita Putchim ◽  
Niphon Phongsuwan ◽  
Chaimongkol Yaemarunpattana ◽  
Nalinee Thongtham ◽  
Claudio Richter
Keyword(s):  
Thermal Stress ◽  
Life History Traits ◽  
Sea Water ◽  
Species Level ◽  
Pocillopora Damicornis ◽  
Rapid Adaptation ◽  
Long Term Changes ◽  
Belt Transect ◽  
Line Intercept

The bleaching susceptibility of 28 coral taxa around southern Phuket was examined in four natural major bleaching events, in 1991, 1995, 2010, and 2016. Surveys were conducted by line intercept and belt transect methods. All coral colonies were identified to genus or species-level and their pigmentation status was assessed as: (1) fully pigmented (i.e. no bleaching), (2) pale (loss of colour), (3) fully bleached, and (4) recently dead as a result of bleaching-induced mortality. Bleaching and mortality indices were calculated to compare bleaching susceptibility among coral taxa. In 2016 some of the formerly bleaching susceptible coral taxa (e.g. Acropora, Montipora, Echinopora, and Pocillopora damicornis) showed far greater tolerance to elevated sea water temperature than in previous years. In P. damicornis the higher bleaching resistance encompassed all sizes from juveniles (<5cm) to adults (>30cm). In contrast, some of the formerly bleaching-resistant corals (e.g. the massive Porites, Goniastrea, Dipsastraea, and Favites) became more susceptible to bleaching over repeated thermal stress events. Our results support the hypothesis that some of the fast-growing branching corals (Acropora, Montipora, and Pocillopora) may have life-history traits that lead to more rapid adaptation to a changed environment than certain growing massive species.

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 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 changes in surface solar radiation and their effects on air temperature in the Shanghai region

2014 ◽  
Vol 35 (12) ◽  
pp. 3385-3396 ◽  
Author(s):  
Jianming Deng ◽  
Yunlin Zhang ◽  
Boqiang Qin ◽  
Kun Shi
Keyword(s):  
Solar Radiation ◽  
Air Temperature ◽  
Surface Solar Radiation ◽  
Long Term Changes

Long-term response of daily epilimnetic temperature extrema to climate forcing

2006 ◽  
Vol 63 (11) ◽  
pp. 2467-2477 ◽  
Author(s):  
Susann Wilhelm ◽  
Thomas Hintze ◽  
David M Livingstone ◽  
Rita Adrian
Keyword(s):  
Relative Humidity ◽  
Air Temperature ◽  
Cloud Cover ◽  
Equilibrium Temperature ◽  
Balance Model ◽  
Wave Radiation ◽  
Main Process ◽  
Rate Of Increase ◽  
Long Term Changes

Twenty years (1983–2002) of hourly summer temperature data from the epilimnion of Müggelsee, a shallow lake in northern Germany, showed a long-term increase, with the rate of increase of the daily minima (nighttime temperatures) exceeding that of the daily maxima (daytime temperatures). This does not simply reflect the long-term behaviour of air temperature, which did not exhibit a significant degree of day–night asymmetry. A sensitivity analysis based on a heat-balance model revealed that the daily extrema of the lake surface equilibrium temperature responded differently not only to shifts in air temperature, but also to shifts in wind speed, relative humidity, and cloud cover, suggesting that long-term changes in all four variables contribute to day–night asymmetry in the epilimnetic temperature. A comparison of nighttime and daytime estimates of the heat flux components into the lake indicates that the emission of long-wave radiation from the atmosphere is likely to be the main process responsible for day–night asymmetry in the epilimnetic temperature. Although this process is partially dependent on air temperature, it is also dependent on relative humidity and cloud cover. The influence of long-term changes in these additional driving variables on epilimnetic temperatures cannot therefore be neglected.

scholarly journals Long-term changes in precipitation phase in Czechia

Geografie ◽  
2019 ◽  
Vol 124 (1) ◽  
pp. 41-55
Author(s):  
Martin Hynčica ◽  
Radan Huth
Keyword(s):  
Air Temperature ◽  
Daily Precipitation ◽  
Sharp Decrease ◽  
Total Precipitation ◽  
Solid Precipitation ◽  
The Past ◽  
Air Temperatures ◽  
Long Term Changes ◽  
Precipitation Phase

Long-term changes in precipitation phase are investigated at ten stations in Czechia. Trends are calculated from 1983 to 2018 for the period between November and April. Daily SYNOP reports and daily precipitation totals are used at every station, where number and occurrence of specific codes in SYNOP report determine daily precipitation totals as solid, combined (which represents, to a large extent, category of mixed precipitation), or liquid. Thereafter, it is possible to calculate trends of all precipitation phases as well as the proportion of solid to total precipitation (S/P; in %). The average S/P trend over all Czech stations is significantly negative (−0.60%·year-1) and accompanied by a sharp decrease in solid precipitation (−1.66 mm·year-1) and an increase in combined precipitation (1.50 mm·year-1). Thus, our results show a ship of precipitation phase from solid to combined. Because of the dependence of S/P on air temperature, we suppose that the current S/P decline is a manifestation of rising air temperatures in the past decades.

scholarly journals Air temperature anomalies in experimental forests in Rogów in 1924–2015

2018 ◽  
Vol 79 (1) ◽  
pp. 37-44 ◽  
Author(s):  
Longina Chojnacka-Ożga ◽  
Wojciech Ożga
Keyword(s):  
Air Temperature ◽  
Forest Ecosystems ◽  
Life Sciences ◽  
Significant Trend ◽  
Temperature Measurements ◽  
Climate Conditions ◽  
Temperature Anomalies ◽  
Weather And Climate ◽  
Air Temperature Anomalies

Abstract Meteorological measurements, that aim to monitor weather and climate conditions to aid research in changing forest ecosystems, have been conducted in the Warsaw University of Life Sciences’ experimental forests in Rogów since 1924. Based on the long-term air temperature measurements, it can be demonstrated that in the years 1924–2015, anomalously cold months have occurred less often (ca. 3.2%) than anomalously warm months (ca. 4.5%). During the last 20 years, only two anomalously cold months were recorded (November 1998, December 2010), whereas anomalously warm months occurred frequently (May 2002, July 1999, 2002, 2006, 2010, 2012, 2014, August 2002, 2015, September 1999, 2006, October 2000, 2001). We hypothesised that the more frequent anomalously warm months would constitute a trend in increasing the air temperature for particular months between 1924–2015, but surprisingly, a statistically significant trend was observed for all winter (XII–II) and spring months (III–IV) as well as the end of summer (VIII).

Sign in / Sign up

Export Citation Format

Share Document