Identification of coherent links between interannual sedimentary structures and daily meteorological observations in Arctic proglacial lacustrine varves: potentials and limitations

2008 ◽  
Vol 45 (1) ◽  
pp. 1-13 ◽  
Author(s):  
Krystopher J Chutko ◽  
Scott F Lamoureux
Keyword(s):  
Lacustrine Sediments ◽  
Weather Conditions ◽  
High Arctic ◽  
Meteorological Conditions ◽  
Positive Temperature ◽  
Training Set ◽  
Robust Model ◽  
Structure Thickness ◽  
Meteorological Observations

Proglacial lacustrine sediments from High Arctic Lake R (76°17.9′N, 90°59.3′W, unofficial name) are shown to be annually laminated (varved) and contain a variety of subannual structures. The formation of the subannual structures (and overall varve) was controlled by a combination of meteorologic (temperature and rainfall) and geomorphic factors. Using a training set of the ten thickest varves in the 38-year sedimentary record, a heuristic model was developed to link subannual structures with regional meteorological conditions. Within the training set, significant correlations were shown between subannual structure thickness and the magnitude of the corresponding melt event, defined as a period of continuously positive temperature. However, these correlations deteriorated as the varves progressively thinned, and several varves exhibited no relationship between their subannual structures and respective meteorological conditions. Grain size analyses showed that the thin varves were significantly finer than the thick varves and are inferred to reflect changed sediment inflow patterns that altered deposition and reduced the fidelity of the model. Despite these complexities, this study identified the potential to produce long-term, subannual reconstructions of weather conditions. Model results revealed the limitations of simple varve–meteorology relationships, as well as identified necessary environmental and sampling conditions required to produce a more robust model for future applications.

scholarly journals The interdecadal worsening of weather conditions affecting aerosol pollution in the Beijing area in relation to climate warming

2018 ◽  
Vol 18 (8) ◽  
pp. 5991-5999 ◽  
Author(s):  
Xiaoye Zhang ◽  
Junting Zhong ◽  
Jizhi Wang ◽  
Yaqiang Wang ◽  
Yanju Liu
Keyword(s):  
Boundary Layer ◽  
Climate Warming ◽  
Linear Trend ◽  
Weather Conditions ◽  
Meteorological Conditions ◽  
Potential Contribution ◽  
Surface Cooling ◽  
Aerosol Pollution ◽  
The Government

Abstract. The weather conditions affecting aerosol pollution in Beijing and its vicinity (BIV) in wintertime have worsened in recent years, particularly after 2010. The relation between interdecadal changes in weather conditions and climate warming is uncertain. Here, we analyze long-term variations of an integrated pollution-linked meteorological index (which is approximately and linearly related to aerosol pollution), the extent of changes in vertical temperature differences in the boundary layer (BL) in BIV, and northerly surface winds from Lake Baikal during wintertime to evaluate the potential contribution of climate warming to changes in meteorological conditions directly related to aerosol pollution in this area; this is accomplished using NCEP reanalysis data, surface observations, and long-term vertical balloon sounding observations since 1960. The weather conditions affecting BIV aerosol pollution are found to have worsened since the 1960s as a whole. This worsening is more significant after 2010, with PM2.5 reaching unprecedented high levels in many cities in China, particularly in BIV. The decadal worsening of meteorological conditions in BIV can partly be attributed to climate warming, which is defined by more warming in the higher layers of the boundary layer (BL) than the lower layers. This worsening can also be influenced by the accumulation of aerosol pollution, to a certain extent (particularly after 2010), because the increase in aerosol pollution from the ground leads to surface cooling by aerosol–radiation interactions, which facilitates temperature inversions, increases moisture accumulations, and results in the extra deterioration of meteorological conditions. If analyzed as a linear trend, weather conditions have worsened by ∼ 4 % each year from 2010 to 2017. Given such a deterioration rate, the worsening of weather conditions may lead to a corresponding amplitude increase in PM2.5 in BIV during wintertime in the next 5 years (i.e., 2018 to 2022). More stringent emission reduction measures will need to be conducted by the government.

The Influence of Weather On Incubation Scheduling of the White-Rumped Sandpiper (Calidris Fuscicollis): a Uniparental Incubator in a Cold Environment

Behaviour ◽  
1985 ◽  
Vol 95 (3-4) ◽  
pp. 261-289 ◽  
Author(s):  
Robert D. Montgomerie ◽  
Ralph V. Cantar
Keyword(s):  
Circadian Rhythm ◽  
Wind Speed ◽  
Air Temperature ◽  
Weather Conditions ◽  
Barometric Pressure ◽  
High Arctic ◽  
Collective Effects ◽  
Incubation Behaviour ◽  
The Individual

AbstractWe studied the incubation scheduling of 8 white-rumped sandpipers (Calidris fuscicollis), a species in which only the female incubates. Because the female is small and nests in the high arctic, these birds are probably under more cold stress than birds nesting in the temperate zone. We examined the individual and collective effects of several weather variables on a female's incubation behaviour to ascertain what amount of the variability within a day was directly attributable to weather conditions. Birds made an average of 25.1 off-nest trips each day, averaging 10.5 min each. This resulted in spending, on average, 82.5% of their time incubating eggs. There was a clear within-day cycle in incubation scheduling; birds made more and longer trips in the middle of the day and, as a result, spent more total time off the nest in that period. Birds adjusted their hour-by-hour schedules to weather largely by altering the number of trips made, and less so by adjusting trip length. There was a circadian rhythm in recess time/h, explaining at least 11% of the variation in recess time/h. When the circadian rhythm was controlled statistically, weather accounted for an average of 38% of the explainable variation in recess time/h. The relative importance of each weather variable on the recess time/h was (in descending order of importance): wind speed, air temperature, solar radiation, barometric pressure, and relative humidity. Weather (primarily wind speed and temperature) exerted its strongest effects early and late in the bird's active day (0400-2300 h). On cold and windy days, birds increased the time spent on their nests early and late in the day, and made more trips than usual in the middle of the day, when air temperature was highest. We suggest that the incubation scheduling of these birds conformed to the long-term predictability of the daily weather cycle by following a circadian rhythm of behaviour modified by a response to concurrent weather that would have reduced egg cooling.

METHOD OF SPATIAL PREDICTION THE DATES OF STARTING AND PASSING THE MAXIMUM WATER DISCHARGE OF SPRING FLOODS

2019 ◽  
pp. 8-22
Author(s):  
A.A. Dokus ◽  
Zh.R. Shakirzanova ◽  
N.N. Shvets
Keyword(s):  
Water Discharge ◽  
Geographical Location ◽  
Weather Conditions ◽  
Spatial Prediction ◽  
Spring Flood ◽  
Prognostic Assessment ◽  
Maximum Water ◽  
Meteorological Observations

Introduction. The problem of long-term and prognostic assessment of the terms of spring floods on rivers is relevant in hydrological investigations. Due to climate warming, the flood tides shifted to early dates or the beginning of the calendar year. The purpose is to analyze the long-term passage of spring floods and to carry out their spatial mapping forecasting on the Dnieper (within Ukraine). Methods. Investigation of the dynamics of long-term changes in the timing of spring floods and the use of the forecast method based on the meteorological forecast of ten-day air temperature in the winter-spring season in the Dnieper basin. Results. The method of forecasting the dates of starting and passing the maximum water discharge (levels) is based on the regional equations of the forecast scheme and allows to make a preliminary estimation of flood terms each year, regardless of the availability of meteorological observations. Assessment of the forecasting methodology allows to recommend it as a consultation, and the earliness of forecast varies depending on the geographical location of the catchments and the current weather conditions of a particular spring. Conclusion. The methodology was implemented on the example of spring floods 2017-2018. The overall forecasts were satisfactory, but the quality of the forecasts was affected by the non-simultaneous terms of the spring flood formation in the Dnieper basin. The prognostic probabilities of the dates of spring flood allow characterizing the frequency of their occurrence over many years. On the example of the 2017-2018 spring flood, the rivers of the Dnieper basin found that, in a changing climate, floods can be shifted to earlier and later ones.

scholarly journals The interdecadal worsening of weather conditions affecting aerosol pollution in the Beijing area in relation to climate warming

2018 ◽  
Author(s):  
Xiaoye Zhang ◽  
Junting Zhong ◽  
Jizhi Wang ◽  
Yaqiang Wang ◽  
Yanju Liu
Keyword(s):  
Boundary Layer ◽  
Climate Warming ◽  
Linear Trend ◽  
Weather Conditions ◽  
Meteorological Conditions ◽  
Potential Contribution ◽  
Surface Cooling ◽  
Aerosol Pollution ◽  
The Government

Abstract. The weather conditions affecting aerosol pollution in Beijing and its vicinity (BIV) in wintertime have worsened in recent years, particularly after 2010. The relation between interdecadal changes in weather conditions and climate warming is uncertain. Here, we analyze long-term variations of an integrated pollution-linked meteorological index (which is approximately and linearly related to aerosol pollution), the extent of changes in vertical temperature differences in the boundary layer (BL) in the BIV, and northerly surface winds from Lake Baikal during wintertime to evaluate the potential contribution of climate warming to changes in meteorological conditions directly related to aerosol pollution in this area; this is accomplished using NCEP reanalysis data, surface observations, and long-term vertical balloon sounding observations since 1960. The weather conditions affecting BIV aerosol pollution are found to have worsened since the 1960s as a whole. This worsening is more significant after 2010, with PM2.5 reaching unprecedented high levels in many cities in China, particularly in the BIV. The decadal worsening of meteorological conditions in the BIV can partly be attributed to climate warming, which is defined by more warming in the higher layers of the boundary layer (BL) than the lower layers. This worsening can also be influenced by the accumulation of aerosol pollution, to a certain extent (particularly after 2010), because the increase in aerosol pollution from the ground leads to surface cooling by aerosol-radiation interactions, which facilitates temperature inversions, increases moisture accumulations, and results in the extra deterioration of meteorological conditions. If analyzed as a linear trend, weather conditions have worsened by ~ 4 % each year from 2010 to 2017. Given such a deterioration rate, the worsening of weather conditions may lead to corresponding amplitude increase in PM2.5 in the BIV during wintertime in the next five years (i.e., 2018 to 2022). More stringent emission reduction measures will need to be conducted by the government.

scholarly journals Lindernia procumbens in Poland: the relationship between weather conditions and the occurrence of the species

2010 ◽  
Vol 17 (1) ◽  
pp. 39-46
Author(s):  
Agnieszka Nobis ◽  
Marcin Nobis ◽  
Katarzyna Piotrowicz ◽  
Zygmunt Kącki ◽  
Zygmunt Dajdok
Keyword(s):  
Climate Changes ◽  
Heat Waves ◽  
Weather Conditions ◽  
Meteorological Conditions ◽  
Geographical Range ◽  
Distribution Limit ◽  
Present Distribution ◽  
The Relationship

Lindernia procumbens in Poland: the relationship between weather conditions and the occurrence of the species New data regarding the occurrence of Lindernia procumbens (prostrate false pimpernel) are discussed and its current geographical range in Poland is given. A comparison of its past and present distribution in Poland indicates an advancement of the distribution limit northwards, which may be caused by climate changes, mostly, by an increased number of heat waves in the warm half-year. The relationship between the occurrence of the species and specific meteorological conditions, especially, unusually hot and dry summer periods, is analysed using long-term meteorological surveys.

scholarly journals Features of recording of meteorological conditions in the data warehouse of qualification examination of plant varieties

2021 ◽  
Vol 17 (3) ◽  
pp. 254-261
Author(s):  
S. I. Melnyk ◽  
N. V. Leschuk ◽  
N. S. Orlenko ◽  
E. M. Starychenko ◽  
K. M. Mazhuha ◽  
...  
Keyword(s):  
Data Warehouse ◽  
Data Storage ◽  
Field Experiments ◽  
Data Entry ◽  
Weather Conditions ◽  
Meteorological Conditions ◽  
Multidimensional Data ◽  
Phenological Stages ◽  
Agricultural Business ◽  
Meteorological Observations

Purpose. To develop a multidimensional model of the data storage for the qualification examination of plant varieties for fixing meteorological conditions in conjunction with the phenological stages of development of varieties that undergo DUS and SVD expertise. Methods. To conduct research with the establishment of the main structural ele­ments of a multidimensional data warehouse, methods of induction, deduction, analysis and synthesis were used. In the design process of the storage facility, W. H. Inmon’s concept was applied, adapted for the agricultural and agricultural business. Results. The stages of qualification examination of plant varieties were analyzed and methodolo­gical approaches to the creation of a multidimensional data warehouse model were considered. The features of the use of data storages for storing the results of qualification exa­mination of plant varieties for distinctness, uniformity and stability (DUS) and suitability of a variety for dissemination in Ukraine (SVD) were highlighted. Particular attention was paid to the implementation of the interconnection between the results of the qualification examination of plant varie­ties with the data of meteorological observations at various phenological stages of plant growth and development, according to the records in the electronic field journal. The logical data model of the data warehouse was designed and implemented in the MS SQL Server environment. Conclusions. Sources of data entry into data warehouses were determined and a multidimensional data warehouse model was implemented according to the “snowflake” scheme. The diagram of the data warehouse was presented, which provided a link between the meteorological conditions of the field experiments and the initial data of the qualification examination, and had four tables of measurements. For each dimension table and fact table, an attribute composition of the data was defined. The data warehouse was practically used to analyze the influence of weather conditions on the indicators of DUS and SVD examinations.

scholarly journals Grass pollen seasons in Poland against a background of the meteorological conditions

2015 ◽  
Vol 68 (4) ◽  
pp. 357-365 ◽  
Author(s):  
Dorota Myszkowska ◽  
Katarzyna Piotrowicz ◽  
Monika Ziemianin ◽  
Kazimiera Chłopek ◽  
Katarzyna Dąbrowska-Zapart ◽  
...  
Keyword(s):  
Grass Pollen ◽  
Pollen Season ◽  
Weather Conditions ◽  
Meteorological Conditions ◽  
Daily Maximum ◽  
Temperature And Precipitation ◽  
Pollen Concentrations ◽  
Poaceae Pollen ◽  
Pollen Seasons

The paper refers to the estimation of Poaceae pollen seasons in Poland in selected areas. The aim of the study was to present the long-term variability of the start, end and duration of grass pollen seasons and the seasonal pollen index (SPI) in Poland against a background of the meteorological conditions over pollen seasons. The study was performed in eight Polish cities in 1992–2014 (the common seasons were 2003–2012). Pollen season start was relatively stable in the studied period, the seasons began about the 10th of May, a bit earlier in the south part of Poland. Pollen season ends were more changeable in comparison to the season start and fluctuated from the middle of July to the middle of September. SPI clearly depended on temperature and precipitation in April–August. Daily maximum pollen concentrations were achieved between the end of May and the first decade of July and no evident relationship between this day and weather conditions was found, apart from 2004.

Methodology for weather data collection published by meteorological stations on the Internet

2020 ◽  
Author(s):  
Э. Рекашус ◽  
Е. Закабунина ◽  
В. Цейко
Keyword(s):  
Data Collection ◽  
Weather Conditions ◽  
Weather Data ◽  
The Internet ◽  
Climate Effect ◽  
Resistant Varieties ◽  
Meteorological Observations ◽  
Weather Observation ◽  
Analyze Data

Многолетние наблюдения учёных показывают, что продуктивность агрофитоценозов в той или иной степени зависит от погодных условий местности, где они формируются. В связи с этим в научных исследованиях оценка агрометеорологических условий произрастания сельскохозяйственных культур при обосновании полученных экспериментальных данных является общепринятой. Цели проведения данной оценки разнообразны. Например, она проводится для определения влияния метеоусловий и тенденций изменения климата на сезонную и многолетнюю динамику развития вредных организмов. Результаты метеонаблюдений важны для выявления степени устойчивости новых сортов к абиотическим стрессам, а также для выяснения, какой из факторов погоды в большей степени влияет на составляющие продукционного процесса той или иной культуры. Однако в силу разных причин экспериментальные участки не всегда имеют метеорологические площадки для наблюдений за погодой. В этом случае исследователи обращаются к метеосводкам ближайших государственных метеостанций. В настоящее время данная информация находится в открытом доступе в сети Интернет, и имеются технические возможности её сбора и обработки. В связи с этим цель статьи познакомить исследователей, чьи опытные поля не оборудованы собственными метеостанциями, с методикой получения из сети Интернет данной информации. В статье приведён порядок работы с архивом данных о погоде на метеостанциях, который находится в открытом доступе в сети Интернет. Статья представляет интерес для учёных-исследователей, чьи полевые опыты не оборудованы площадками наблюдения за погодой, но при этом есть необходимость в характеристике метеоусловий для обоснования полученных экспериментальных данных. Long-term observations showed that to a certain degree productivity of farm phytocenoses depend on climate of their cultivation area. Therefore, scientists use standard evaluation of weather conditions to analyze data on crop growth and behaviour. Such evaluation has various purposes. For example, it is conducted to determine the climate effect on seasonal and long-term dynamics of pest spread. Meteorological observations are crucial when selecting stress-resistant varieties or identifying environmental factors influencing crop performance. For various reasons trial locations do not always have meteorological sites for weather observation. In this case scientists collect such data from nearest state meteorological stations. There are several ways to collect and process this information which is publicly available on the Internet nowadays. This article presents the weather data collection methodology from the Internet to be used by researches lacking respective equipment on their trial fields. The article describes the procedure for archive analysis of online weather data from meteorological stations. It is of interest for the Institutions that have no weather observation sites but need to characterize weather conditions to justify the obtained experimental data.

scholarly journals Generation of a Test Reference Year for Alūksne, Latvia

2015 ◽  
Vol 33 (1) ◽  
pp. 46-54 ◽  
Author(s):  
Mārtiņš Ruduks ◽  
Arturs Lešinskis
Keyword(s):  
Selection Process ◽  
Meteorological Data ◽  
Weather Conditions ◽  
Building Energy ◽  
Weather Data ◽  
Building Performance ◽  
Climate Data ◽  
Meteorological Observations ◽  
Energy Simulations

Abstract Precise and reliable meteorological data are necessary for building performance analysis. Since meteorological conditions vary significantly from year to year, there is a need to create a test reference year (TRY), to represent the long-term weather conditions over a year. In this paper two different TRY data models were generated and compared: TRY and TRY-2. Both models where created by analysing every 3-hour weather data for a 30-year period (1984–2013) in Alūksne, Latvia, provided by the Latvian Environment Geology and Meteorology Centre (LEGMC). TRY model was generated according to standard LVS EN ISO 15927-4, but to create second model - TRY-2, 30 year average data were applied. The generated TRY contains typical months from a number of different years. The data gathered from TRY and TRY-2 models where compared with the climate data from the Latvian Cabinet of Ministers regulation No. 379, Regulations Regarding Latvian Building Code LBN 003-01. Average monthly temperature values in LBN 003-01 were lower than the TRY and TRY-2 values. The results of this study may be used in building energy simulations and heating-cooling load calculations for selected region. TRY selection process should include the most recent meteorological observations and should be periodically renewed to reflect the long-term climate change.

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