Temperature and wind frequency tables for Eurasia / [by] J. N. Rayner.

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McGill University] , [Montreal
Atmospheric temperature -- Europe., Atmospheric temperature -- Asia., Winds., Meteorology -- Ta

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SeriesPublication in meteorology - McGill University. Arctic Meteorology Research Group ;, no. 18,20-21,23
ContributionsUnited States. Army. Quartermaster Research and Engineering Command.
Classifications
LC ClassificationsQC852 .M33 no. 18, etc.
The Physical Object
Pagination4 v. :
ID Numbers
Open LibraryOL5845744M
LC Control Number62003946
OCLC/WorldCa6750703

Get this from a library. Temperature and wind frequency tables for Eurasia. [John N Rayner; United States. Army. Quartermaster Research and Engineering Command,; McGill University. Arctic Meteorology Research Group,]. Get this from a library. Temperature and wind frequency tables for North America and Greenland.

[J N Rayner; United States. Army. Quartermaster Research and Engineering Command.; McGill University.

Arctic Meteorology Research Group.;]. The effect of wind, temperature, humidity and sunshine on the loss of heat of a body at temperature 98°F. Lt.‐Col. Gold D.S.O., M.A., F.R.S. and a frequency table is given showing the number of days in each month with different degrees of cooling power.

In an exposed situation there is little difference on the average between the Cited by: There is a larger spatial pattern of temperature trends over land than over ocean, including evident cooling over midwestern North America and the mid-latitudes of Eurasia, but enhanced warming north of 50°N even in cold seasons, i.e., the “warm Arctic-cold continents” pattern (Fig.

1a–c).There are two dynamic processes accounting for their regional contrast: (1) the intensified trade Cited by:   The comparison of daily sea surface temperatures to nighttime‐only marine air temperatures is confounded by diurnal range effects as well as inhomogeneities in the observations, with the MOHMAT and HadNMAT2 marine air temperature data [Rayner et al., ; Kent et al., ] showing substantial differences to the SSTs not seen in the by:   The background 2-m temperature for this analysis was derived from 6-h background forecasts of skin temperature and temperature at the lowest model level (located at a height of ∼10 m), using Monin-Obukhov similarity profiles consistent with the model's parametrization of the surface layer [Beljaars and Viterbo, ].

Two new parameters (W6H and W6V) were defined that represent brightness temperature increments for different low-frequency channels due to ocean wind. We developed a new wind speed retrieval model inside hurricanes based on W6H and W6V using brightness temperature data from AMSR-E.

The AMSR-E observations of 12 category 3–5 hurricanes from to and corresponding data from the H*wind. The transient eddy variable of zonal wind, meridional wind, and temperature, are defined as the deviation from the winter average in each year. Then we use the Butterworth filtering to decompose the eddy field into synoptic (shorter than 10 days) and low‐frequency (greater than 10 days) components, with the latter further decomposed.

Existing studies of the recent warming hiatus over land are primarily based on the average of daily minimum and maximum temperatures. The values listed in the tables include • Dry-bulb temperature corresponding to,and % cumulative frequency of occurrence for indicated month, °F; mean coincident wet-bulb temperature, °F.

• Wet-bulb temperature corresponding to,and % cumulative frequency of occurrence for indicated month, °F.

Haze pollution is among the most serious disasters in the North China Plain, dramatically damaging human health and the social economy. The frequency of haze events in February ty. The East China Plains (ECP) region experienced the worst haze pollution on record for January in We show that the unprecedented haze event is due to the extremely poor ventilation conditions, which had not been seen in the preceding three decades.

Statistical analysis suggests that the extremely poor ventilation conditions are linked to Arctic sea ice loss in the preceding autumn and.

part presents 49 rainfall frequency maps based on a comprehensive and integrated collection of up-to-date statistics, several related maps, and seasonal variation diagrams. The rainfall frequency (isopluvial) maps are for selected durations from 30 minutes to 24 hours and return periods from 1 to years.

Elizabeth J. Good, Darren J. Ghent, Claire E. Bulgin and John J. Remedios, A spatiotemporal analysis of the relationship between near‐surface air temperature and satellite land surface temperatures using 17 years of data from the ATSR series, Journal of Geophysical Research: Atmospheres,17, (), ().

In book: Report Card of Marine Climate Change for AustraliaEditors: E.S. Poloczanska, A.J. Hobday and A.J. Richardson Cite this publication Janice Mary Lough.

Download Temperature and wind frequency tables for Eurasia / [by] J. N. Rayner. FB2

GISS Surface Temperature Analysis References. When referencing the GISTEMP v4 data, please cite both this website as well our most recent scholarly publication about the analysis.

The mean frequency with which low or high generation events occur decreases approximately exponentially with increasing persistence, suggesting they can be approximated as a Poisson-like process where the mean frequency, (2) N = N 0 exp (− t p λ), where t p is the persistence time, N 0 is the mean frequency of events of any length (with t p.

Ricciardulli, and R. Donohue (), Wind speed climatology and trends for Australia, – Capturing the stilling phenomenon and comparison with near-surface reanalysis output. The temperature change within the wind farm, wind speed, TKE, and surface KE dissipation rates are averaged over the entire 1-h-long simulation period for the 21 grid cells containing the turbines.

The temperature change in wind farms was also a function of the mean ambient hub-height (second atmospheric layer) wind speed (Fig. 3 B). Rayner N A, Parker D E, Horton E B, Folland C K, Alexander L V, Rowell D P, Kent E C and Kaplan A Global analyses of sea surface temperature, sea ice, and night marine air temperature since the late nineteenth century J.

Geophys. In both of these datasets the mean temperature in 5° × 5° grids are provided with monthly time resolution. In addition to these we use Berkeley Earth’s equal-area dataset, and the GISS Surface Temperature Analysis (hereafter GISS; Hansen et al.

), with km smoothing, which. A wind vane is used as part of the anemometer to determine the wind's direction. As the wind flows over the windmill, the speed and direction of the wind can be measured with this instrument.

Some scientific anemometers use the speed of sound to measure the wind speed more precisely in three dimensions.

Description Temperature and wind frequency tables for Eurasia / [by] J. N. Rayner. PDF

The objective of this paper is to review statistical methods, dynamics, modeling efforts, and trends related to temperature extremes, with a focus upon extreme events of short duration that affect parts of North America. These events are associated with large scale meteorological patterns (LSMPs).

The statistics, dynamics, and modeling sections of this paper are written to be autonomous. However, the effect of the air temperature variations on the road surface temperature is found to be reduced as a result of the obstruction of the longwave cooling caused by the wind shelters.

The cooling rate especially has been found to differ between stations with varying sky view factors. References. Data represented in the movies was obtained from the following sources. It represents many years work by an international community of scientists. Wind Wind results from a horizontal difference in air pressure and since the sun heats different parts of the Earth differently, causing pressure differences, the Sun is the driving force for most winds.

The wind is a result of forces acting on the atmosphere: 1. Pressure Gradient Force (PGF) - causes horizontal pressure differences and winds 2. Figure 3 illustrates the domain-averaged RMSE and standard deviation of the 24 h forecasts of 2-m temperature, m wind speed and wind direction for the four forecast cycles (00, 06, 12, 18 UTC) averaged over the entire S1 period.

The averaging is done for all available forecast cycles between 1 July, and 22 April, El Nino Southern Oscillation (ENSO): The El Nino Southern Oscillation (ENSO) is the most prominent mode of interannual variability on the globe, whose alterations in tropical Pacific sea surface temperature, sea level pressure, zonal and meridional wind, and cloudiness significantly influence the placement, intensity, and lifetime of convection in the tropics, and the strength and breadth of.

Frequency Response of Wind Power Plants Preprint E. Muljadi, V. Gevorgian, and M. Singh National Renewable Energy Laboratory S.

Santoso University of Texas – Austin To be presented at the IEEE Symposium on Power Electronics and Machines in Wind Applications Denver, Colorado JulyConference Paper. Find all your weather reference charts and tables at : how to measure tornadoes, hurricane strength, windchill, wind speed, UV radiation risk, earthquakes, heat, and more.

Plus, enjoy our free weather lore calendar. J.N. Moum, W.D. Smyth, in Encyclopedia of Ocean Sciences (Second Edition), Ice on the Upper Ocean. At high latitudes, the presence of an icelayer (up to a few meters thick) partially insulates the oceana gainst surface forcing.

This attenuates the effects of wind forcing on the upper ocean except at the lowest frequencies.

Details Temperature and wind frequency tables for Eurasia / [by] J. N. Rayner. EPUB

Since the pioneering work of D’Arrigo and Jacoby 1,2,3, as well as Mann et al. 4,5, temperature reconstructions of the Common Era have become a .A stratified atmosphere is assumed in which the temperature, wind velocity, and humidity are dependent on the altitude only.

Specification of a refraction law for the sound ray emanating from the elevated source is followed by development of a three-dimensional ray-tracing program to determine the ground level sound intensity due to a source at.