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1

Intercomparison of bias correction approaches for simulated temperature by multiple climatic models over southern India

Pandey Brij Kishor, Chandrakar Ayush, Vivek Balachandrakartha

Acta Geophysica

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2023

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Vol. 71, no. 4

1995--2008

EN

Climate model, a complex numerical representation of the global climate system, has been developed to simulate current climate and used to project future climatic conditions. Simulated climatic variables from climate models often exhibit significant deviations from observations. In climate projections, different approaches were introduced to deal with systematic deviations and random model errors. This paper demonstrates the intercomparison of four bias correction approaches (linear scaling, delta change correction, distribution mapping, and variance scaling) underlying the assumptions of stationary output from climate models. Mean monthly temperatures derived from five global climate models were corrected by four bias correction approaches for five states of southern India. The suitability of correction approaches depends upon the climate models and regional framework. The applied approaches improve the mean values and other statistical properties. The results show that all four bias techniques significantly improved the simulated data, but distribution mapping and variance scaling were more effective in removing systematic model biases.

2

Recent sea surface temperature trends and future scenarios for the Red Sea

Shaltout Mohamed

Oceanologia

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2019

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No. 61 (4)

484--504

EN

The current paper analyses the recent trends of Red Sea surface temperature (SST) using 0.25° daily gridded Optimum Interpolation Sea Surface Temperature (OISST) data from 1982 to 2016. The results of 3 different GFDL (Geophysical Fluid Dynamics Laboratory) model simulations are used to project the sea surface temperature (hereafter called Tos) under the four representative concentration pathway scenarios through 2100. The current research indicates that the spatially annual mean (from 1982 to 2016) Red Sea surface temperature is 27.88 ± 2.14°C, with a significant warming trend of 0.029°C yr-1. The annual SST variability during the spring/autumn seasons is two times higher than during the winter/summer seasons. The Red Sea surface temperature is correlated with 13 different studied parameters, the most dominant of which are mean sea level pressure, air temperature at 2 m above sea level, cross-coast wind stress, sensible heat flux, and Indian Summer Monsoon Index. For the Red Sea, the GFDL-CM3 simulation was found to produce the most accurate current SST among the studied simulations and was then used to project future scenarios. Analysis of GFDL-CM3 results showed that Tos in the Red Sea will experience significant warming trends with an uncertainty ranging from 0.6°C century-1 to 3.2°C century-1according to the scenario used and the seasonal variation.

3

Projections of changes in heavy precipitation in the northern foothills of the Tatra Mountains

Pińskwar I., Kundzewicz Z. W., Choryński A.

Meteorology Hydrology and Water Management. Research and Operational Applications

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2017

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Vol. 5, Iss. 2

21--30

EN

Heavy and/or long-lasting precipitation events in the Tatra Mountains and their northern foothills may cause floods that propagate downstream in the Vistula River and inundate large areas of Poland. In a warmer climate, future precipitation extremes could be higher than they are today, hence the flood risk potential is likely to grow. Therefore, assessment of these future changes and adaptation to changes in flood risk are of considerable interest and importance. In this study, seven global climate models were used to get insight into a range of changes in the characteristics of mean and heavy precipitation: this was done for two climate scenarios – A1B and A2 of the SRES family. With the help of the so-called delta-change method and based on responses from global climate models, projections were made for 11 precipitation stations in the region. Analyses were made of various indices, such as annual totals, maximum 24 h, 5-day; 10-day, monthly maximum sums of precipitation and also numbers of days with intense precipitation equal or above the thresholds of 30 and 50 mm per day. It was found that all GCM models under examination projected an increase in mean annual precipitation totals as well as in heavy precipitation in the future time horizon studied here (2080-2100).

4

Prediction of precipitation deficit and excess in Bydgoszcz Region in view of predicted climate change

Bąk B., Łabędzki L.

Journal of Water and Land Development

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2014

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no. 23

11--19

EN

The paper presents the prediction of rainfall shortage and excess in Bydgoszcz region in the growing seasons (April–September) in 2011–2050 in the perspective of climate change. Based on the predicted monthly sum of precipitations for the percentile 50%, calculated by the regional climate model RM5.1 for Poland with boundary values taken from global model ARPEGE, a decrease in the amount of rainfall during the growing season by approximately 55 mm is predicted, compared to 1971–2000 taken as a reference period. The qualification of rainfall shortage and excess was made using the standardised precipitation index (SPI). According to the predicted values of SPI, the occurrence of 38 months of rainfall excess and 40 months of rainfall deficit in the period 2011–2050 is predicted. Dry months will constitute 16% of all months, wet months – 13%, and normal months – 71%. The occurrence of 13 several-month long periods of rainfall excess and 14 such periods of drought are predicted. The longest periods of both wet and dry weather will last 5 months. So long wet periods are expected in 2020, 2022 and 2031, and drought periods in 2017–2018, 2023–2024 and from 2046 to 2049.

PL

W pracy przedstawiono prognozę niedoboru i nadmiaru opadów w rejonie Bydgoszczy w okresach wegetacyjnych (kwiecień–wrzesień) wielolecia 2011–2050 w świetle zmian klimatycznych. Na podstawie prognozowanych miesięcznych sum opadów dla percentyla 50%, obliczonych z wykorzystaniem regionalnego modelu zmian klimatu RM5.1 dla Polski, bazującego na modelu globalnym ARPEGE, przewiduje się w badanym regionie zmniejszenie sumy opadów w okresie wegetacyjnym o ok. 55 mm w stosunku do wielolecia referencyjnego 1971–2000. Na podstawie miesięcznych wartości wskaźnika standaryzowanego opadu SPI prognozuje się w wieloleciu 2011–2050 wystąpienie 38 miesięcy z nadmiarem opadów i 40 miesięcy z niedoborem opadów. Miesiące suche będą stanowiły 16% wszystkich miesięcy, miesiące wilgotne – 13%, a miesiące normalne – 71%. Prognozowane jest pojawienie się 13 kilkumiesięcznych okresów z nadmiarem opadów i 14 okresów z suszą, przy czym najdłuższe okresy obu zjawisk będą trwały pięć miesięcy. Takich okresów wilgotnych można oczekiwać w latach: 2020, 2022 i 2031 r., a okresów suszy – w latach 2017–2018, 2023–2024 i w wieloleciu 2046–2049.

5

Analysis of possible climate change impacts on air pollution by sulfur species over Central-Eastern Europe

Juda-Rezler K., Reizer M., Trapp W.

Environment Protection Engineering

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2011

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Vol. 37, nr 2

109-121

EN

High resolution, complex modelling system built with regional climate model (RegCM3), original emission model (EMIL) and air quality model CAMx was employed for analysing projected climate change impacts on concentrations and depositions of sulfur compounds (SOx) over Central and Eastern Europe. With employment of constant emission rates, results show a slight increase of SO2 concentrations in the future, as well as increase of SOx deposition in the mountains and decrease in central and eastern parts of Poland. Projections indicate also slight changes in a number of days and hours during the calendar year with SO2 levels exceeding European limit values. The biggest changes are evident in the vicinity of large point emission sources.