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Libros sobre el tema "Annual rainfall"

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Autor: Grafiati
Publicado: 4 de junio de 2021
Última modificación: 26 de enero de 2023

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1

Rao, Donthamsetti V. Rainfall analysis for Northeast Florida: Summary of monthly and annual rainfall data through 1995. Palatka, Fla: St. Johns River Management District, 1997.

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2

Hedgecott, S. An estimate of annual rainfall over the North Sea. Swindon: Water Research Centre, 1989.

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3

Fitzgerald, D. Monthly and annual averages of rainfall for Ireland 1961-1990. Dublin: Meteorological Service, 1996.

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4

Office, Great Britain Meteorological. Monthly and annual totals of rainfall 1986 for the United Kingdom. Bracknell: Meteorological Office, 1988.

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5

Weaver, J. Curtis. Frequency of annual maximum precipitation in the City of Charlotte and Mecklenburg County, North Carolina, through 2004. Reston, Va: U.S. Geological Survey, 2006.

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6

Asquith, William H. Atlas of depth-duration frequency of precipitation annual maxima for Texas. Austin, Tex: U.S. Dept. of the Interior, U.S. Geological Survey, Water Resources Division, 2004.

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7

Asquith, William H. Atlas of depth-duration frequency of precipitation annual maxima for Texas. Austin, Tex: U.S. Dept. of the Interior, U.S. Geological Survey, Water Resources Division, 2004.

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8

Asquith, William H. Atlas of depth-duration frequency of precipitation annual maxima for Texas. Austin, Tex: U.S. Dept. of the Interior, U.S. Geological Survey, Water Resources Division, 2004.

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9

Asquith, William H. Atlas of depth-duration frequency of precipitation annual maxima for Texas. Austin, Tex: U.S. Dept. of the Interior, U.S. Geological Survey, Water Resources Division, 2004.

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10

Asquith, William H. Atlas of depth-duration frequency of precipitation annual maxima for Texas. Austin, Tex: U.S. Dept. of the Interior, U.S. Geological Survey, Water Resources Division, 2004.

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11

Hulme, M. The tropical easterly jet and Sudan rainfall 2: Inter- and intra-annual variability during 1968-85. Salford: University of Salford Department of Geography, 1988.

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12

Vossen, P. An analysis of agricultural livestock and tradi[ti]onal crop production statistics as a function of total annual and early, mid, and late rainy season rainfall in Botswana. Gaborone: Botswana Meteorological Services, 1987.

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13

Service, Canada Meteorological, ed. [R]ain and snow-fall of Canada to the end of 1902: With charts of annual precipitation. Ottawa: S.E. Dawson, 1997.

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14

Design of the primary pre-TRMM and TRMM ground truth site: Annual report on NASA grant #NAG-5-870. Charlottesville, VA: University of Virginia, Dept. of Environmental Sciences, 1988.

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15

Iowa Weather and Crop Service. Annual Report For. Creative Media Partners, LLC, 2018.

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16

B, Hinton Barry, United States. National Aeronautics and Space Administration. y University of Wisconsin--Madison. Space Science and Engineering Center., eds. Use of microwave satellite data to study variations in rainfall over the Indian Ocean: Final report, 1 August 1986 through 28 February 1990. Madison, Wis: Space Science and Engineering Center, University of Wisconsin-Madison, 1990.

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17

Nash, David. Changes in Precipitation Over Southern Africa During Recent Centuries. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190228620.013.539.

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Precipitation levels in southern Africa exhibit a marked east–west gradient and are characterized by strong seasonality and high interannual variability. Much of the mainland south of 15°S exhibits a semiarid to dry subhumid climate. More than 66 percent of rainfall in the extreme southwest of the subcontinent occurs between April and September. Rainfall in this region—termed the winter rainfall zone (WRZ)—is most commonly associated with the passage of midlatitude frontal systems embedded in the austral westerlies. In contrast, more than 66 percent of mean annual precipitation over much of the remainder of the subcontinent falls between October and March. Climates in this summer rainfall zone (SRZ) are dictated by the seasonal interplay between subtropical high-pressure systems and the migration of easterly flows associated with the Intertropical Convergence Zone. Fluctuations in both SRZ and WRZ rainfall are linked to the variability of sea-surface temperatures in the oceans surrounding southern Africa and are modulated by the interplay of large-scale modes of climate variability, including the El Niño-Southern Oscillation (ENSO), Southern Indian Ocean Dipole, and Southern Annular Mode.Ideas about long-term rainfall variability in southern Africa have shifted over time. During the early to mid-19th century, the prevailing narrative was that the climate was progressively desiccating. By the late 19th to early 20th century, when gauged precipitation data became more readily available, debate shifted toward the identification of cyclical rainfall variation. The integration of gauge data, evidence from historical documents, and information from natural proxies such as tree rings during the late 20th and early 21st centuries, has allowed the nature of precipitation variability since ~1800 to be more fully explored.Drought episodes affecting large areas of the SRZ occurred during the first decade of the 19th century, in the early and late 1820s, late 1850s–mid-1860s, mid-late 1870s, earlymid-1880s, and mid-late 1890s. Of these episodes, the drought during the early 1860s was the most severe of the 19th century, with those of the 1820s and 1890s the most protracted. Many of these droughts correspond with more extreme ENSO warm phases.Widespread wetter conditions are less easily identified. The year 1816 appears to have been relatively wet across the Kalahari and other areas of south central Africa. Other wetter episodes were centered on the late 1830s–early 1840s, 1855, 1870, and 1890. In the WRZ, drier conditions occurred during the first decade of the 19th century, for much of the mid-late 1830s through to the mid-1840s, during the late 1850s and early 1860s, and in the early-mid-1880s and mid-late 1890s. As for the SRZ, markedly wetter years are less easily identified, although the periods around 1815, the early 1830s, mid-1840s, mid-late 1870s, and early 1890s saw enhanced rainfall. Reconstructed rainfall anomalies for the SRZ suggest that, on average, the region was significantly wetter during the 19th century than the 20th and that there appears to have been a drying trend during the 20th century that has continued into the early 21st. In the WRZ, average annual rainfall levels appear to have been relatively consistent between the 19th and 20th centuries, although rainfall variability increased during the 20th century compared to the 19th.
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18

Solar Physics Committee (Great Britain) y Sir Norman Lockyer. Mean Annual Variations of Barometric Pressure and Rainfall in Certain Regions: Being a Study of the Mean Annual Pressure Variations for a Large Number ... to the Principal Types of Mean Annual. Franklin Classics Trade Press, 2018.

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19

Harrington, Mark Walrod. Rainfall and Snow of the United States: Compiled to the End of 1891, with Annual, Seasonal, Monthly, and Other Charts. Creative Media Partners, LLC, 2018.

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20

Kemp, D. y D. Michalk, eds. Pasture Management. CSIRO Publishing, 1994. http://dx.doi.org/10.1071/9780643105508.

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This book looks at current knowledge on management of pastures and rangelands for sheep production, of problems, of practical solutions where possible, and of priority areas for research. The areas considered extend from the high rainfall perennial pastures of south-east Australia and New Zealand, through the annual pasture, cropping zones to the semi-arid rangelands. Pasture Management is the major reference on managing Australia's greatest natural resource: the resource which provides directly and indirectly a major part of Australia's export income.
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21

Goswami, B. N. y Soumi Chakravorty. Dynamics of the Indian Summer Monsoon Climate. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190228620.013.613.

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Lifeline for about one-sixth of the world’s population in the subcontinent, the Indian summer monsoon (ISM) is an integral part of the annual cycle of the winds (reversal of winds with seasons), coupled with a strong annual cycle of precipitation (wet summer and dry winter). For over a century, high socioeconomic impacts of ISM rainfall (ISMR) in the region have driven scientists to attempt to predict the year-to-year variations of ISM rainfall. A remarkably stable phenomenon, making its appearance every year without fail, the ISM climate exhibits a rather small year-to-year variation (the standard deviation of the seasonal mean being 10% of the long-term mean), but it has proven to be an extremely challenging system to predict. Even the most skillful, sophisticated models are barely useful with skill significantly below the potential limit on predictability. Understanding what drives the mean ISM climate and its variability on different timescales is, therefore, critical to advancing skills in predicting the monsoon. A conceptual ISM model helps explain what maintains not only the mean ISM but also its variability on interannual and longer timescales.The annual ISM precipitation cycle can be described as a manifestation of the seasonal migration of the intertropical convergence zone (ITCZ) or the zonally oriented cloud (rain) band characterized by a sudden “onset.” The other important feature of ISM is the deep overturning meridional (regional Hadley circulation) that is associated with it, driven primarily by the latent heat release associated with the ISM (ITCZ) precipitation. The dynamics of the monsoon climate, therefore, is an extension of the dynamics of the ITCZ. The classical land–sea surface temperature gradient model of ISM may explain the seasonal reversal of the surface winds, but it fails to explain the onset and the deep vertical structure of the ISM circulation. While the surface temperature over land cools after the onset, reversing the north–south surface temperature gradient and making it inadequate to sustain the monsoon after onset, it is the tropospheric temperature gradient that becomes positive at the time of onset and remains strongly positive thereafter, maintaining the monsoon. The change in sign of the tropospheric temperature (TT) gradient is dynamically responsible for a symmetric instability, leading to the onset and subsequent northward progression of the ITCZ. The unified ISM model in terms of the TT gradient provides a platform to understand the drivers of ISM variability by identifying processes that affect TT in the north and the south and influence the gradient.The predictability of the seasonal mean ISM is limited by interactions of the annual cycle and higher frequency monsoon variability within the season. The monsoon intraseasonal oscillation (MISO) has a seminal role in influencing the seasonal mean and its interannual variability. While ISM climate on long timescales (e.g., multimillennium) largely follows the solar forcing, on shorter timescales the ISM variability is governed by the internal dynamics arising from ocean–atmosphere–land interactions, regional as well as remote, together with teleconnections with other climate modes. Also important is the role of anthropogenic forcing, such as the greenhouse gases and aerosols versus the natural multidecadal variability in the context of the recent six-decade long decreasing trend of ISM rainfall.
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