94 research outputs found
Thermal comfort indices derived from ERA-Interim reanalysis for Northern Eurasia
No full textAuthors: Mikhail Varentsov,
Pavel Konstantinov, Natalia Shartova
Description: The data set provides a historical reconstruction of the set of
indices that represent the human thermal comfort or discomfort in outdoor
environment, derived from ERA-Interim reanalysis with 0.75 ° spatial resolution
on 3-hourly intervals for the period of 1979-2018, for the territory of
Northern Eurasia (10°W – 170 °W, 40 °N - 80 °N). It contains five different
thermal comfort indices:
·
Physiologically-Equivalent
Temperature (PET),
·
Universal Thermal
Climate Index (UTCI),
·
Heat Index (UTCI),
·
Humidex (HUM),
·
Wind Chill
Temperature (WCT)
The calculation of PET and UTCI indices was performed in RayMan
software. The meteorological variables from the ERA-Interim reanalysis are also
included.
The data is separated into 40 files, that corresponds to 20x20 °cells.
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(Table 13) Chemical composition of Late Cretaceous deposits from DSDP Hole 45-396
No full textContents in air-dried matter
(Table 2) R-mode factor scores of chemical component contents in Mesozoic and Cenozoic deposits from DSDP Hole 62-463
No full text(Table 2) R-mode factor scores of chemical component contents in Mesozoic and Cenozoic deposits from DSDP Hole 62-46
(Table 14) Accumulation rates of chemical components for major geochronologic units of the post-Jurassic section from DSDP Hole 62-464
No full text(Table 14) Accumulation rates of chemical components for major geochronologic units of the post-Jurassic section from DSDP Hole 62-46
(Table 15) Contents of foraminiferal remains, CaCO3, and mineral insoluble residue in size fractions of Late Cenozoic sediments from DSDP Hole 45-396
No full text(Table 15) Contents of foraminiferal remains, CaCO3, and mineral insoluble residue in size fractions of Late Cenozoic sediments from DSDP Hole 45-39
(Table 6) Stratigraphic distribution of rotated factor loadings for chemical component contents (on terrigenous-free carbonate-free silica-free basis) in Mesozoic and Cenozoic deposits from DSDP Hole 62-463
No full textFactor scores see in Table 5 (http://doi.pangaea.de/10.1594/PANGAEA.734954)
(Table 9) R-mode factor scores of chemical component contents in Mesozoic and Cenozoic deposits from DSDP Hole 62-464
No full text(Table 9) R-mode factor scores of chemical component contents in Mesozoic and Cenozoic deposits from DSDP Hole 62-46
(Table 5) R-mode factor scores of chemical component contents (on terrigenous-free carbonate-free silica-free basis) in Mesozoic and Cenozoic deposits from DSDP Hole 62-463
No full text(Table 5) R-mode factor scores of chemical component contents (on terrigenous-free carbonate-free silica-free basis) in Mesozoic and Cenozoic deposits from DSDP Hole 62-46
(Table 8) Contents of foraminifera fragments, CaCO3, and mineral insoluble residue in different grain size fractions of Late Cenozoic sediments from DSDP Hole 45-395
No full text(Table 8) Contents of foraminifera fragments, CaCO3, and mineral insoluble residue in different grain size fractions of Late Cenozoic sediments from DSDP Hole 45-39
Intraurban social risk and mortality patterns during extreme heat events: A case study of Moscow, 2010-2017
No full textThere is currently an increase in the number of heat waves occurring worldwide. Moscow experienced the effects of an extreme heat wave in 2010, which resulted in more than 10,000 extra deaths and significant economic damage. This study conducted a comprehensive assessment of the social risks existing during the occurrence of heat waves and allowed us to identify the spatial heterogeneity of the city in terms of thermal risk and the consequences for public health. Using a detailed simulation of the meteorological regime based on the COSMO-CLM regional climate model and the physiologically equivalent temperature (PET), a spatial assessment of thermal stress in the summer of 2010 was carried out. Based on statistical data, the components of social risk (vulnerabilities and adaptive capacity of the population) were calculated and mapped. We also performed an analysis of their changes in 2010–2017. A significant differentiation of the territory of Moscow has been revealed in terms of the thermal stress and vulnerability of the population to heat waves. The spatial pattern of thermal stress agrees quite well with the excess deaths observed during the period from July to August 2010. The identified negative trend of increasing vulnerability of the population has grown in most districts of Moscow. The adaptive capacity has been reduced in most of Moscow. The growth of adaptive capacity mainly affects the most prosperous areas of the city.The analysis of health outcomes (S. Timonin, A. Shchur) was supported by the HSE University Basic Reseach Program .The work of M. Varentsov on determining the urban canopy parameters for COSMO-CLM simulations was partially supported by Moscow Center of Fundamental and Applied Mathematics. All parts of this research except for health outcomes analysis were funded by the Russian Science Foundation (Project No. 17-77-20070 “Assessment and Forecast of the Bioclimatic Comfort of Russian Cities under Climate Change in the 21st Century”).Peer-reviewe
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