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Climatic data

Quantification of the variability in loading is started by the calculation of the key parameters temperature and humidity at different times of the day and the year in order to identify the most loading part of a country or region. Climatic data for [Pg.47]

As a starting point, the daily temperatures and dewpoints for carefully selected places and major cities in countries of concern (and the area of free trade they may belong to) have been analysed in order to identify [Pg.48]


Holzworth, G. C., Climatic data on estimated effective chimney heights in the United States, in "Preprints of Joint Conference on Application of Air Pollution Meteorology," Nov. 29-Dec 2, 1977, Salt Lake City, UT. American Meteorological Society, Boston, 1977, pp. 80-87. [Pg.362]

The relationship between GPP and weather can be explored through the use of satellite data and field measurements of GPP, combined with corresponding climate data. Some details of potentially useful data are described here. [Pg.404]

Muller, M.J. 1982 Selected Climatic Data for a Global Set of Standard Stations for Vegetation Science. The Hague, Junk. [Pg.61]

Revise codes, such as flood plain mapping and climate data and return frequencies for hazard-prone areas, adjusting to new realities, i.e., 100-year floods become 500-year floods, higher snow and wind loads. [Pg.57]

NOAA-NCDC, 2001. US National Oceanic and Atmospheric Adm. (NOAA) and US National Climatic Data Center (NCDC), http //www.ncdc.noaa.gov/ol/climate/research/1998/ anomalie s/anomalie s. html means. [Pg.86]

Interpreting past and present climate data is difficult, but predicting future climate change—and its possible effects—is even more challenging. [Pg.96]

The UNSAT-H model estimates evaporation from the soil in two ways. In the isothermal mode, the user must supply PET data for each day or daily climate data from which the model calculates PET by the Penman method. In the thermal mode, the model estimates evaporation from the difference in vapor density in the atmosphere and in the surface soil layer. [Pg.1077]

Both of them require at least limited model calibration. They do not stochastically estimate daily climate data for model evaluations or long-term changes in plant nutrient status and the resulting changes in plant growth and water balance. HYDRUS and UNSAT-H would be very useful and accurate if used in research however, they are difficult to use in engineering design of ET landfill covers and provide incomplete estimates of performance. [Pg.1078]

Figure 1. Annual average rainfall (mm), annual average temperature (°C), and altitude (m.a.s.l.) for different sites studied in the Pedemontana Jungle in northern Argentina (Salta and Jujuy provinces). Source http //es.climate-data.org/ location/145171/... Figure 1. Annual average rainfall (mm), annual average temperature (°C), and altitude (m.a.s.l.) for different sites studied in the Pedemontana Jungle in northern Argentina (Salta and Jujuy provinces). Source http //es.climate-data.org/ location/145171/...
To assess the relevance of the Guiyu dumpsites, essential data were missing. Therefore it has been decided to introduce a model dumpsite for Guiyu. It is based on climate data from Hong et al. [35], data from Danon-Schaffer [31] and personal communication with Danon-Schaffer [30], The dumpsite topic has potential for further research as it may concern a long-term problem. The defaults for the model dump are presented in Table 16, the results can be found in Table 17. [Pg.334]

Hong Y, Nix HA, Hutchinson MF, Booth TH (2005) Spatial interpolation of monthly mean climate data for China. Int J Climatol 25 1369-1379... [Pg.348]

Climate data concerning the average rain rate were obtained from Hong et al. [40]. Table 13 shows the input parameters for the QWASI approach... [Pg.376]

Rodo X, Giralt S, Burjachs F, Comin FA, Tenorio RG, Julia R (2002) High-resolution saline lake sediments as enhanced tools for relating proxy paleolake records to recent climatic data series. Sediment Geol 148 203-220... [Pg.18]

Source U.S. National Climatic Data Center, 2001 Figure 5.3 The hard data demonstrating global warming. ... [Pg.108]

Intergovernmental Panel on Climate Change. Climate Change 2007 Synthesis Report. Available online. URL http //www.ipcc.ch/pdf/ assessment-report/ar4/syr/ar4 syr.pdf. Accessed May 28, 2009. IPCC scientists review climate data and models. [Pg.162]

Climatic data for the nearby village of Ixcatlan (Garcia 1973) indicates... [Pg.533]

Climatic data. Winter and summer temperature extrema, cooling tower drybulb temperature, air cooler design temperature, strength and direction of prevailing winds, rain and snowfall maxima in 1 hr and in 12 hr, earthquake provision. [Pg.12]

Local lapse rate method. Meyer (1986, 1992) analyzed climatic data for 39 areas of the world to calculate lapse rates based on MAT as well as warm month mean temperature (WMMT)... [Pg.158]

Figure 6. Results from analysis of modern temperature data (Meyer 1993) can be illustrated on a climagraph to show changes in mean temperatures with elevation, including the decrease in MART with increasing elevation. Solid line indicates the elevation range within which climate data occur dashed lines are projections to higher and lower elevations dots indicate mean temperatures from climate stations used in the analysis. From Meyer (1992). [Reprinted from Palaeogeography, Palaeoclimatology, Palaeoecology, v. 99, Meyer, H.W., Lapse rates and other variables applied to estimating paleoaltitudes from fossil floras, p. 71-99, 1992, Elsevier Science Publishers B.V., with permission from Elsevier.]... Figure 6. Results from analysis of modern temperature data (Meyer 1993) can be illustrated on a climagraph to show changes in mean temperatures with elevation, including the decrease in MART with increasing elevation. Solid line indicates the elevation range within which climate data occur dashed lines are projections to higher and lower elevations dots indicate mean temperatures from climate stations used in the analysis. From Meyer (1992). [Reprinted from Palaeogeography, Palaeoclimatology, Palaeoecology, v. 99, Meyer, H.W., Lapse rates and other variables applied to estimating paleoaltitudes from fossil floras, p. 71-99, 1992, Elsevier Science Publishers B.V., with permission from Elsevier.]...
From the CLAMP data and associated mean annual climate data, Forest et al. (1999) obtained estimates of enthalpy, temperature, relative humidity, and specific humidity (Fig. 6). The data set has been reduced by removing the outliers as indicated by scores along the third and fourth axes (see Wolfe 1995 for a description). The axis eigenvalues from CANOCO indicate that significant information is contained in the first 6 axes and implies that the use of the axes three and four as an outlier indicator should be robust. The estimates of the climate data indicate that mean annual enthalpy can be predicted from fossil leaf physiognomy with an uncertainty of aH = + 5.5 kJ/kg. Additionally, the standard errors for the estimates of temperature, specific humidity, and relative humidity are respectively, aT= 1.8 °C, aq= 1.7 g/kg, and = 13%. [Pg.186]

Molnar P, Houseman GA, England PC (2006) Palaeo-altimetry of Tibet. Nature 444 E4 NCDC (National Climatic Data Center) (1989) International Station Meteorological Climate Summary — CD-ROM v. 1 United States Government... [Pg.192]

Climate of 2005 Summary of Hurricane Katrina. NOAA Satellite and Information Service, National Climatic Data Center Web Site. Available online. URL http //www.ncdc. noaa.gov/oa/climate/research/2005/katrina.html. Accessed October 25, 2006. [Pg.102]

Holdridge, L. R. (1947). Determination of World plant formations from simple climatic data. Science 105(2727), 367-368. [Pg.265]

Information on regional climate change is both diverse and voluminous. We will confine ourselves to a few of the most typical illustrations based mainly on the report prepared by National Climatic Data Center (NCDC) (Levinson and Waple, 2004), which characterizes specific features of climate in various regions of the globe in 2003 against a background of long-term climatic variability. [Pg.464]

A U. S. national biogenic sulfur emissions inventory with county spatial and monthly temporal scales has been developed using temperature dependent emission algorithms and available biomass, land use and climatic data. Emissions of dimethyl sulfide (DMS), carbonyl sulfide (COS), hydrogen sulfide (H2S), carbon disulfide (CS2), and dimethyl disulfide (DMDS) were estimated for natural sources which include water and soil surfaces, deciduous and coniferous leaf biomass, and agricultural crops. The best estimate of 16100 MT of sulfur per year was predicted with emission algorithms developed from emission rate data reported by Lamb et al. (1) and is a factor of 22 lower than an upper bound estimate based on data reported by Adams et al. [Pg.14]

Generalized data on the hydrometeorological regime of the Black Sea were placed in navigation charts and in special publications. In 1908 the Atlas of winds and mists of the Black Sea was published, and in 1915 the next issue of the navigation chart of the Black Sea. Publication of monthly weather reviews was initiated, and some climatic data on the Turkish coasts of the Black Sea were published. In 1908-1914 hydrographic surveys of the coasts were conducted and the maps of the Black Sea verified. [Pg.21]


See other pages where Climatic data is mentioned: [Pg.406]    [Pg.53]    [Pg.308]    [Pg.16]    [Pg.7]    [Pg.192]    [Pg.532]    [Pg.162]    [Pg.165]    [Pg.168]    [Pg.168]    [Pg.169]    [Pg.225]    [Pg.27]    [Pg.37]    [Pg.436]    [Pg.590]    [Pg.28]    [Pg.295]    [Pg.141]    [Pg.147]    [Pg.84]   
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See also in sourсe #XX -- [ Pg.18 , Pg.47 ]

See also in sourсe #XX -- [ Pg.42 , Pg.43 , Pg.44 , Pg.47 , Pg.53 , Pg.57 , Pg.200 , Pg.202 ]




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Climatic data China

Climatic data India

Climatic data South Africa

Climatic data relative humidity

Climatic data temperature

National Climatic Data Center

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