The phrase
"daily precipitation" refers to the amount of water, in the form of rain, snow, or hail, that falls from the sky in a day.
Full definition
Some regions may see a drastic increase in
mean daily precipitation — which may cause flash floods, washed out roads, and detrimental effects on crops.
The daily value is either the daily mean (such as daily mean temperature) or a sum (such
as daily precipitation).
Figure 2.19: Maps show the increase in frequency of extreme
daily precipitation events (a daily amount that now occurs once in 20 years) by the later part of this century (2081 - 2100) compared to the later part of last century (1981 - 2000).
«s. Based on a range of emissions scenarios (B1, A1B, A2), a 1 - in - 20 year annual maximum
daily precipitation amount is likely to become a 1 - in - 5 to 1 - in - 15 year event by the end of the 21st century in many regions.
Anomalous number of heavy precipitation days for 2017 (left) and
maximum daily precipitation for 2017 (right) both relative to the annual value for the period 1981 - 2010.
The number of stations reflecting a locally significant increase in the proportion of total annual precipitation occurring in the upper five percentiles of
daily precipitation totals outweighs the number of stations with significantly decreasing trends by more than 3 to 1 (Figure 2.36 c).
Indicators based on
daily precipitation data show more mixed patterns of change but significant increases have been seen in the extreme amount derived from wet spells and number of heavy rainfall events.
While the state isn't known for its rainfall, the area could still see up to a 40 percent reduction in mean
daily precipitation in Aprils by 2090.
Her study accounted for propagation of organized storms, and also included
correct daily precipitation cycles across the U.S., neither of which are accurately represented in current climate models.
Her study accounted for propagation of organized storms, and also included correct
daily precipitation cycles across the U.S., neither of which are accurately represented in current climate models.
In the Sahel region of Nigeria, however, there has been a decrease in the
heaviest daily precipitation amounts, coincident with an overall decrease in annual rainfall.
The number of heavy rainfall events, where
daily precipitation exceeds 20 mm, was close to the 1981 - 2010 average for large parts of Europe.
In particular, we evaluated statistically
downscaled daily precipitation time series in terms of the Peirce skill score, mean absolute errors, and climate indices.
Groisman et al. (1999) developed a simple statistical model of the frequency of
daily precipitation based on the gamma distribution.
A set of long, nearly complete
daily precipitation series for Alaska spanning the latter half of the 20th century has been analyzed for seasonal relationships between variations in mean, heavy, and extreme precipitation and large - scale atmospheric circulation variations at interannual, decadal, and secular timescales.
«We show that at the present - day warming of 0.85 °C about 18 % of the
moderate daily precipitation extremes over land are attributable to the observed temperature increase since pre-industrial times, which in turn primarily results from human influence,» the research team said.
Evidence that extreme precipitation is increasing is based primarily on analysis1, 2,3 of hourly and
daily precipitation observations from the U.S. Cooperative Observer Network, and is supported by observed increases in atmospheric water vapor.4 Recent publications have projected an increase in extreme precipitation events, 1,5 with some areas getting larger increases6 and some getting decreases.7, 2
New daily precipitation records were set on January 31st for many locations including Concordia and Topeka (in Kansas), and Lincoln and Omaha (in Nebraska).
Specifically, we used a variety of linear and nonlinear methods such as artificial neural networks (ANN), decision trees and ensembles, multiple linear regression, and k - nearest neighbors to generate present and
future daily precipitation occurrences and amounts.
Sossa A., B. Liebmann, I. Bladé, D. Allured, H. H. Hendon, P. Peterson and A. Hoell (March 2017): Statistical Connection between the Madden — Julian Oscillation and
Large Daily Precipitation Events in West Africa.
Here we present a new and simple formula that relates wet - day mean precipitation to heavy precipitation, providing a method for predicting and downscaling
daily precipitation statistics.
Di Luzio M., G. L. Johnson, C. Daly, J. K. Eischeid, et al. (February 2008): Constructing Retrospective
Gridded Daily Precipitation and Temperature Datasets for the Conterminous United States.
Increasing annual precipitation in parts of the region combined with heavier precipitation events — the
heaviest daily precipitation events increased by 71 percent between 1958 and 2012 — may lead to more floods and runoff, which can carry increased sediment loads, pathogens, and nutrients from fertilizer directly into the bay.
More than one - half of the stations showed a significant positive relationship at the daily time scale between warm nights (daily minimum temperature greater than the 90th percentile) or warm days (daily maximum temperature above the 90th percentile) and heavy - precipitation events (
daily precipitation exceeding the 75th percentile), with the greater frequencies found for the east and southwest coasts during autumn and winter.
Although not statistically significant when averaging over all stations, there is about a 1 % increase in the proportion of
daily precipitation events occurring in the upper five percentiles (Figure 2.36 d).
Eight years
of daily precipitation from each model's twentieth - century climate simulation are analyzed and compared with daily satellite - retrieved precipitation.
A neglected indicator, which I think should be an obvious one, is
the daily precipitation area.
The daily precipitation is measured between 8 a.m. (9 a.m. in summertime) and 8 a.m. (9 a.m. in summertime) local time the following day and is given in millimetres (snowfall = water equivalent).
Yearly maxima of
the daily precipitation and wadi flow for varying return periods were compared for observed and projected data by fitting the generalized extreme value (GEV) distribution function.
Hunter, R. D., and R. K. Meentemeyer, 2005: Climatologically Aided Mapping of
Daily Precipitation and Temperature.
States that CEI is based on a set of climate extremes indicators that measure the fraction of the area of the United States experiencing extremes in monthly mean surface temperature,
daily precipitation, and drought (or moisture surplus)