Druyan, L.M., M. Fulakeza, and P. Lonergan, 2007: The spatial variability of regional model simulated June - September
mean precipitation over West Africa.
Not exact matches
The
mean precipitation total is 5.3 mm, spread
over an average of 2.5 wet days per month.
I understand this to
mean that
over time, there is a tendency to move upwards (to the right) along the cumulative probability curve, let's say, for annual extreme 1 - day
precipitation.
The
mean precipitation taken
over area with
precipitation for any given day can be considered as the wet - day
mean precipitation and provides an indicator for the
mean precipitation intensity.
The differences in the area of evaporation and
precipitation has a similar effect as a funnel: if the
mean evaporation
over a large area is returned a smaller, then the
mean intensity is amplified by the factor of.
Because latent heat release in the course of
precipitation must be balanced in the global
mean by infrared radiative cooling of the troposphere (
over time scales at which the atmosphere is approximately in equilibrium), it is sometimes argued that radiative constraints limit the rate at which
precipitation can increase in response to increasing CO2.
Further,
precipitation over land is a small fraction of the total, so there's a lot of room for changes in precip there without altering the result on the global
mean.
Now of course increased evaporation also
means increased
precipitation, but this tends to fall prematurely
over the source of the evaporation — the oceans.
Decreases in
precipitation over many subtropical areas are evident in the multi-model ensemble
mean, and consistency in the sign of change among the models is often high (Wang, 2005), particularly in some regions like the tropical Central American - Caribbean (Neelin et al., 2006).
The net change
over land accounts for 24 % of the global
mean increase in
precipitation, a little less than the areal proportion of land (29 %).
This criterion may not be satisfied if observations are available only
over a short time period (as is the case for the vertical structure of clouds), or if the predictor is defined through low - frequency variability (trends, decadal variability), or if there is a lack of consistency among available datasets (as in the case for global -
mean precipitation and surface fluxes).
At the same time,
precipitation patterns are also changing all
over the planet; in the Arctic, that
means more erratic snowfall.
One year (August 1998ï ¿ 1/2 July 1999) of tropical rainfall estimates from the
Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN) system were used to produce monthly
means of rainfall diurnal cycles at hourly and 1ï ¿ 1/2 ï ¿ 1/2 1ï ¿ 1/2 scales
over a domain (30ï ¿ 1/2 Sï ¿ 1/2 30ï ¿ 1/2 N, 80ï ¿ 1/2 Eï ¿ 1/2 10ï ¿ 1/2 W) from the Americas across the Pacific Ocean to Australia and eastern Asia.
Last year, the paper by Wentz et al. showed that
over several parts of the world,
mean annual
precipitation has been on the rise with increasing temperature.
Depending on winter
precipitation and the forest treatment schedule,
mean annual increases in runoff from thinning of ponderosa forests across the Salt - Verde watersheds ranged from 4.76 to 15.0 million m3 (3,860 — 12,200 acre - feet)
over a 35 - year treatment period, 6.18 to 23.4 million m3 (5,010 to 19,000 acre - feet)
over 25 years, and 9.23 to 42.8 million m3 (7,480 to 34,700 acre - feet)
over 15 years (Table 2).
Twelve - month running
means of
precipitation rate (mm / day) from January 1979 to May 2017 evaluated
over NW, NE, SW and SE Europe for ERA - Interim, part of ERA5, JRA - 55, GPCC and (to March 2017) GPCP.
These twelve - month running -
mean time series of
precipitation amounts averaged
over continental land areas and the European sub-regions include values from JRA - 55 and values available to date from ERA5, the reanalysis currently in production to supersede ERA - Interim.
Twelve - month running
means of
precipitation rate (mm / day) from 1979 to 2017 evaluated
over NW, NE, SW and SE Europe for ERA - Interim, part of ERA5, JRA - 55, GPCC and (to March 2017) GPCP.
Winter
precipitation (
mean and extreme) variability and trends along the south coast and interior of Alaska appear to be closely related to variations in the PNA pattern
over this timeframe, while El Nino / Southern Oscillation (ENSO) influences, through the Nino3 index, appear to be significant along the south coast alone.
Site environmental variables in 2007 — 13: daily
precipitation (annual amounts noted); daily
mean soil water content at 30 cm below surface (SWC); daily maximum vapor pressure deficit (VPD); daily
mean air temperature
over the forest canopy (Ta).
Monthly temperature,
precipitation, 500hPa geopotential height,
mean sea - level pressure and soil moisture
over the entire globe are also output to assess larger scale weather systems.
Total seasonal
precipitation and
mean seasonal temperature averaged
over Colorado, Utah, New Mexico, and Arizona (17); five - year running
means, 1900 — 2008.
Over West Africa, AOGCM - simulated changes in annual
mean precipitation are about 5 to 10 % larger than for atmosphere - only simulations, and in better agreement with data reconstructions (Braconnot et al., 2004).
«Indeed it is estimated that annual
mean temperature has increased by
over 2 °C during the last 70 years and
precipitation has decreased in most regions, except the western part of the country, indicating that Mongolia is among the most vulnerable nations in the world to global warming.»
The areas with enhanced warming
over the USA may also be caused by drier soils from reduced
precipitation, although the poor model agreement in
precipitation changes for this region
means this conclusion is uncertain.
Climate, sometimes understood as the «average weather,» is defined as the measurement of the
mean and variability of relevant quantities of certain variables (such as temperature,
precipitation or wind)
over a period of time, ranging from months to thousands or millions of years.