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1 edition of Tables showing the diunarl [sic] variation of precipitation in East Africa and Seychelles found in the catalog.

Tables showing the diunarl [sic] variation of precipitation in East Africa and Seychelles

Tables showing the diunarl [sic] variation of precipitation in East Africa and Seychelles

supplement to Technical memorandum no. 8, 1957.

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  • 18 Currently reading

Published by Meteorological Dept., East African Community in Nairobi .
Written in English

    Places:
  • Africa, East,
  • Seychelles
    • Subjects:
    • Rain and rainfall -- Africa, East -- Diurnal variations -- Tables.,
    • Rain and rainfall -- Seychelles -- Diurnal variations -- Tables.

    • Edition Notes

      SeriesTechnical memorandum - East African Meteorological Department ; no. 10
      ContributionsThompson, B. W., East African Community. East African Meteorological Dept.
      Classifications
      LC ClassificationsQC925.6.A42 T3
      The Physical Object
      Pagination49 p. ;
      Number of Pages49
      ID Numbers
      Open LibraryOL4294065M
      LC Control Number78321909

      Data Tables NARCCAP data is organized into groups based on its spatial and temporal structure: 2-D vs 3-D, daily vs 3-hourly, etc. The groups are listed in the table below. Each variable name links to the corresponding description in the CF Standard Name Table. Three Day Precipitation Totals. Five Day Precipitation Totals. One Week Archive of Daily Gage Precipitation Graphics. CoCoRaHS Precipitation Observations. US Dept of Commerce National Oceanic and Atmospheric Administration National Weather Service Northeast RFC 46 Commerce Way Norton, MA ()

      precipitation reveals distinct seasonal and diurnal variability of precipitation. On average, from 70%% of precipitation is associated with MPF, generally less in the summertime and in southern coastal regions. MPF precipitation has a relatively small seasonal cycle except in Florida and the warm offshore waters of the Gulf Stream. Abstract: Data from 4 rainfall gauges were used to interpolate the spatial distribution of annual rainfall in South Africa. Several spatial interpolation methods (inverse distance weighting (IWD), ordinary kriging, universal kriging, cokriging) were tested by variation analyses .

      The blue vectors show regions with wind speed greater than 10 m s-1, while the black vectors show regions with Figure Regional distribution of precipitation over (a) West Africa, (b) Guinean Coast Table Precipitation rate for the 99th percentile of daily precipitation (mm d-1).. Table Percentage of widespread extreme. total precipitation, mass convective flux, or some other measure of convection is the most adequate normalization factor with regard to climate effects. [37] Our results show an increase in the fraction of convective precipitation with SST together with a decrease of the area of stratiform precipitation per unit of total rainfall.


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Tables showing the diunarl [sic] variation of precipitation in East Africa and Seychelles Download PDF EPUB FB2

[1] The diurnal variations of precipitation over East Asia simulated by the National Centers for Environmental Prediction (NCEP) Regional Spectral Model (RSM) and the Weather Research and Forecasting (WRF) model are evaluated during the integration period of June–July–August (JJA) The models reproduce the observed seasonal mean of large‐scale features and precipitation Cited by: the diurnal variation of precipitation in british east africa paperback – january 1, by B.W.

Thompson (Author) See all formats and editions Hide other formats and editionsAuthor: B.W. Thompson. This study was undertaken to establish the geographical and seasonal distribution of the diurnal variation of precipitation in East Africa. An analysis of the diurnal variation of precipitation at about fifty different stations allover East Africa for the months of January, April, July and October revealed that there are seven main rainfall regimes occurring in areas with similar orographic.

The simulations of summertime diurnal cycle of precipitation and low-level winds by the Community Atmosphere Model, version 5, are evaluated over subtropical East Asia.

The evaluation reveals the physical cause of the observed diurnal rainfall variation in East Asia and points to the source of model strengths and weaknesses. Diurnal Variation of Precipitation Wei-Kuo Tao, Di Wu, Toshi Matsui, Christa Peters-Lidard, Arthur Hou, Michele Rienecker The diurnal variation of precipitation over US can also be generally categorized into three different types: 1) afternoon rainfall maxima due to mesoscale and local circulations over the south and east of the Mississippi.

Yuanchun Zhang, Jianhua Sun, Comparison of the diurnal variations of precipitation east of the Tibetan Plateau among sub-periods of Meiyu season, Meteorology and Atmospheric Physics, /s,5, (), ().

Crossref. The diurnal variation of precipitation at four stations in and around Manaus (03°S, 60°W) is studied using hourly observations for the period – The rainfall at midforest stations is 20% greater than that at the city stations, especially in the afternoon hours.

No attempt is made to compare PR-based surface rain data to passive microwave rainfall over Africa. The sunrise-to-noon quartile is the most suppressed in terms of both rain rate and rain amount in all regions. The diurnal modulation of rain rate and rainfall amount is strongest in East Africa (JJA) and the desert regions (Kalahari, Sahara).

Average annual precipitation maps, however, do not show the natural year-to-year variability of rainfall that occurs. For this reason the so-called coefficient of variation, or CV, expressed as a percentage, was mapped.

The higher the CV, the more variable the year-to-year (i.e. inter-annual) rainfall of a locality is. rainfall over land and coastal areas during summer.

Dai et al. (a) show that tidal variations in surface pres-sure fields (Dai and Wang ) can induce substantial diurnal variations in low-level convergence with phases consistent with those of summer rainfall across the Unit-ed States. The diurnal phase patterns of surface wind. variations.

Annual precipitation variations depend both on the general atmospheric circulation and local (topographic) conditions. We consider the main features of equatorial, tropical, Mediterranean, monsoonal and mid-latitudinal types of annual precipitation. As regards causes, precipitation is subdivided into cyclones (frontal).

a fundamental test of a numerical climate model (Lin et al. ; Yang and Slingo ; Dai and Trenberth ). One region of intense interest in this vein is the tropical east Pacific ITCZ, which exhibits strong zonal variations in precipitation and atmospheric circulation (Janowiak et al.

) and is an area over which two. Moreover, the accuracy of the diurnal variation in precipitation relies on the density of rain gauge sites (Huffman et al., ; Xie et al., ).

The topography of the TP has also been proven to strongly affect diurnal variations in precipitation and convective clouds, as.

The soundings, precipitation and radar data obtained from IOP of GAME-TIBET in the summer of are used to analyze the diurnal variations of precipitation and thermodynamic variables CAPE, LCL and relationships between precipitation and thermodynamic variables in monsoon season.

The diurnal variations of precipitation are obvious. Maximum precipitation appears at the same time when. precipitation data are still not available over the main part of the TP. Moreover, the accuracy of the diurnal variation in precipitation relies on the density of rain gauge sites (Huffman et al., ; Xie et al., ).

The topography of the TP has also been proven to strongly affect diurnal variations in precipitation and convective.

LMRFC page for observed past precipitation. Beginning Septemthe river forecast point for the Tiptonville area will be moved from south of Tiptonville to east of Portageville, MO.

Emori and Brown () show percentage changes of annual precipitation from the ensemble. Increases of over 20% occur at most high latitudes, as well as in eastern Africa, central Asia and the equatorial Pacific Ocean.

The change over the ocean between 10°S and 10°N accounts for about half the increase in the global mean (Figure precipitation is closely related to rain formation conditions, i.e. with the temperature of formation, the origin of air masses, and the degree and mechanism of rainout. Over the last twenty years, use of GNIP data in climate model has indicated a need for a much more refined, process-based.

One region of intense interest in this vein is the tropical east Pacific ITCZ, which exhibits strong zonal variations in precipitation and atmospheric circulation (Janowiak et al. ) and is an area over which two recent field campaigns were conducted: the East Pacific Investigation of Climate Processes in the Coupled Ocean–Atmosphere.

We examined the diurnal cycle of the rainfall in a coastal tropical mountainous region in central Veracruz State, Mexico (18°–21° N, °–° W), featuring a striking topographic gradient running from sea level at the Gulf of Mexico coast to m above sea level.

However, mean temperature alone is not enough to reflect the complicated variations of climate. In fact, trends in mean surface temperature are often due to changes in daily maximum and minimum temperatures (Sun et al., ).

So, diurnal temperature range is also an important indicator for climate change (Karl et al., ). Global precipitation data sets with high spatial and temporal resolution are needed for many applications, but they were unavailable before the recent creation of several such satellite products.

Here, we evaluate four different satellite data sets of hourly or 3-hourly precipitation (namely CMORPH, PERSIANN, TRMM 3B42 and a microwave-only product referred to as MI) by comparing the spatial.Changes in precipitation extremes are much less coherent than for temperature, but globally averaged over the land area with sufficient data, the percentage contribution to total annual precipitation from very wet days (upper 5%) is greater in recent decades than earlier decades (Figuretop panel, and Table .