Numerical modeling
of precipitation measurements was conducted using a supercomputer nicknamed Cheyenne at the NCAR - Wyoming Supercomputing Center.
Not exact matches
At the same time as the aircraft were taking
measurements, Creamean and her colleagues also took samples
of the
precipitation on the ground and analyzed them to see whether that dust was in the rain or snow landing in the mountains.
«So we were making these
measurements while people were on the ground collecting the
precipitation and getting radar data,» and together, they were able to paint a better picture
of how what happened in the cloud influenced the rain or snow falling on the ground.
«
Precipitation depends on ice; it's very sensitive to ice in a cloud, so figuring out what forms ice [in clouds] is sort
of the holy grail
of the
measurements we've been trying to do, and it's a very chemically selective process,» Prather said at the ACS meeting yesterday afternoon.
Using U.S. Weather Service data on
precipitation, radiosonde
measurements of CAPE and lightning - strike counts from the National Lightning Detection Network at the University
of Albany, State University
of New York (UAlbany), they concluded that 77 percent
of the variations in lightning strikes could be predicted from knowing just these two parameters.
Diving deeper into the complex puzzle
of mass strandings, the team decided to expand their analysis and include additional oceanographic and atmospheric data sets from NASA's Earth science missions, including Terra, the Sea - viewing Wide Field -
of - view Sensor — or SeaWIFS, for short — and Global
Precipitation Measurement, as well as the National Oceanic and Atmospheric Administration's Geostationary Operational Environmental Satellite, or GOES, mission.
The data comes from NASA and the Japan Aerospace Exploration Agency's Global
Precipitation Measurement mission (GPM), a constellation
of international and domestic satellites that estimate rainfall and snowfall every three hours.
The predictions matched actual rainfall
measurements during the 75 - year period, both in the magnitude (amount) and the trend (increase or decrease)
of precipitation.
Nevertheless, Steven Running, chair
of a NASA earth science advisory committee meeting, was pleased both with the funding request, as well as with a year that had seen the launch
of three major missions: the Global
Precipitation Measurement mission, joint with the Japanese Space Agency; the Orbiting Carbon Observatory - 2 mission; and the Soil Moisture Active Passive mission, which just launched on 31 January.
Steven Running, chair
of a NASA earth science advisory committee meeting, was pleased both with the request, as well as with a year that had seen the launch
of three major missions: the Global
Precipitation Measurement mission, joint with the Japanese Space Agency; the Orbiting Carbon Observatory - 2 mission; and the Soil Moisture Active Passive mission, which just launched on 31 January.
To do so, Ichoku and his colleagues used satellite records from 2001 to 2014 — including data from NASA's Moderate Resolution Imaging Spectroradiometer and the Tropical Rainfall
Measurement Mission — to analyze the impact
of fires on various water cycle indicators, namely soil moisture,
precipitation, evapotranspiration and vegetation greenness.
«The proxy records used in this study appear to contradict other studies that have used direct observations
of precipitation from rain gauges... All else being equal, I would trust direct rainfall
measurements over proxy records.»
The ARM data will provide more detailed
measurements of both aerosols and clouds to assist the research team in quantifying the impacts
of aerosols on
precipitation under a variety
of atmospheric and pollution conditions.
A joint session dedicated to DOE ARM
measurements: Observations
of Aerosol / Trace Gases, Clouds,
Precipitation, and Radiation from DOE Atmospheric Radiation
Measurement (ARM) Climate Research Facility Part 1, Tuesday, January 24, 8:30 — 10:00 am, 4C - 4, led by Jian Wang, Brookhaven National Laboratory, Jim Mather and Jiwen Fan, both from Pacific Northwest National Laboratory
Observations
of Aerosol / Trace Gases, Clouds,
Precipitation, and Radiation from DOE Atmospheric Radiation
Measurement (ARM) Climate Research Facility (Joint with the 19th Conference on Atmospheric Chemistry; the 9th Symposium on Aerosol - Cloud - Climate interactions to host)
Observations
of Aerosol / Trace Gases, Clouds,
Precipitation, and Radiation from DOE Atmospheric Radiation
Measurement (ARM) Climate Research Facility
A new paper explores model cloud and
precipitation transitions in a highly variable meteorological environment observed during the U.S. Department
of Energy's Atmospheric Radiation
Measurement (ARM) Midlatitude Continental Convective Clouds Experiment (MC3E) field campaign.
While it might indicate warming, or lack
of precipitation, it does not measure incorrect temperature
measurements in the USA.
The model variables that are evaluated against all sorts
of observations and
measurements range from solar radiation and
precipitation rates, air and sea surface temperatures, cloud properties and distributions, winds, river runoff, ocean currents, ice cover, albedos, even the maximum soil depth reached by plant roots (seriously!).
This apparent inconsistency says little about the overall trend in the heaviest
precipitation events, but a lot about the weaknesses
of single - point
measurements for detecting trends in extreme
precipitation.
They include soaring temperatures, declining late - season snowpack, northward - shifted winter storm tracks, increasing
precipitation intensity, the worst drought since
measurements began, steep declines in Colorado River reservoir storage, widespread vegetation mortality, and sharp increases in the frequency
of large wildfires.
Tropical land - surface
precipitation measurements indicate that
precipitation likely has increased by about 0.2 to 0.3 % / decade over the 20th century, but increases are not evident over the past few decades and the amount
of tropical land (versus ocean) area for the latitudes 10 ° N to 10 ° S is relatively small.
Nonetheless, direct
measurements of precipitation and model reanalyses
of inferred
precipitation indicate that rainfall has also increased over large parts
of the tropical oceans.
Looking ahead, climate experts said an important part
of any rebuilding
of Afghanistan would be prompt re-establishment
of basic, regular
measurements of precipitation and other weather conditions.
This study investigates the variability
of convective and stratiform rainfall from 8 yr (1998â $ «2005)
of Tropical Rainfall Measuring Mission (TRMM)
Precipitation Radar (PR) and TRMM Microwave Imager (TMI)
measurements, focusing on seasonal diurnal variability.
Moreover, because
of the effects
of wind speed, evaporation, and
precipitation intensity, different types
of rain gauge, and observation techniques induce different errors in
precipitation measurements.
The DKRZ long - term archive WDCC (World Data Center for Climate) has assigned its 1000th DataCite DOI to the experiment OceanRAIN - M
of the project «Ocean Rainfall And Ice - phase
precipitation measurement Network».
We also acknowledge our NASA partners at the Global
Precipitation Measurement and SPoRT programs, with whom we have worked jointly on various aspects
of snowfall rate retrievals for many years.
Meanwhile, satellite
measurements provide
precipitation information that is more spatially homogeneous and temporally complete for vast areas
of the globe.
First, better calibrations
of satellite data and better methods for the optimal combination
of earth
measurements, satellite estimates, and model outputs may provide a better understanding
of precipitation.
Gauge observations provide relatively accurate and trusted
measurements of precipitation with long term records.
However, these
measurements contain non-negligible random errors and biases owing to the indirect nature
of the relationship between the observations and actual
precipitation, inadequate sampling, and deficiencies in the algorithms.
The principal scientific objective is to make global SSS
measurements over the ice - free oceans with 150 - km spatial resolution, and to achieve a
measurement error less than 0.2 (PSS - 78 [practical salinity scale
of 1978]-RRB- on a 30 - day time scale, taking into account all sensors and geophysical random errors and biases.Salinity is indeed a key indicator
of the strength
of the hydrologic cycle because it tracks the differences created by varying evaporation and
precipitation, runoff, and ice processes.
This allowed the development and validation
of more realistic simulations that replicated the aircraft
measurements and thus quantified more reliably the entities that can not be obtained directly by the aircraft
measurements to improve understanding and modeling
of aerosol - cloud -
precipitation interactions.
c,
Measurements of July to September air temperature and annual
precipitation changes at each site between 2003 and 2002.
The Palmer Drought Severity Index, which is a measure
of soil moisture using
precipitation measurements and rough estimates
of changes in evaporation, has shown that from 1900 to 2002, the Sahel region
of Africa has been experiencing harsher drought conditions.
To measure rainfall over land, the scientists took advantage
of a new NASA - based international satellite mission, dubbed Global
Precipitation Measurement.
To test the accuracy
of these modeled data, we compared values from the Verde ponderosa pine PRISM modeled data to
measurements of total winter
precipitation recorded during the original Beaver Creek experiments [31].
The map below shows satellite - based
measurements of rain, snow, and other wintry
precipitation as it has accumulated over California, Nevada, Utah, and Arizona this year.
The data come from the Integrated Multi-Satellite Retrievals for GPM (IMERG), a product
of the Global
Precipitation Measurement mission.
It actually covers climate modeling, solar and atmospheric physics, temperature
measurement, phenomena
of clouds,
precipitation, sea levels, and glaciology, as related to climate change.
They are the JRA - 55 reanalysis and combined products
of the Global
Precipitation Climatology Centre (GPCC) based on
measurements from rain gauges.
[1]
Measurements from several different satellite instruments are used to estimate effects
of energetic particle
precipitation (EPP) on NOx (NO + NO2) in the Southern Hemisphere stratosphere from 1992 to 2005.
Needed
measurements include not only the conventional climatic variables (temperature and
precipitation), but also the time - varying, three - dimensional spatial fields
of ozone, water vapor, clouds, and aerosols, all
of which have the potential to cause surface and lower to mid-tropospheric temperatures to change relative to one another.
To evaluate the reliability
of radio occultation
measurements and to study
precipitation processes in more detail, coordinated EISCAT
measurements would be useful.
The Eastern North Atlantic instrument field covers a variety
of meteorological
measurements focusing on atmospheric and boundary properties, surface and radiative fluxes, and
precipitation.
Uses a time series
of hydrographic and stable oxygen isotope (δ18O)
measurements collected at a near - coastal site in Marguerite Bay to quantify the prevalence
of meteoric freshwater (glacial melt plus
precipitation) separately from sea ice melt
[4] Thanks to a strong El Niño that brought near average
precipitation to the northern California, the statewide April 1 snowpack
measurement in 2016 showed state water resources at 87 percent
of the long - term average; however, the snowpack was not sufficient to undo water deficits caused by years
of drought.
Using U.S. Weather Service data on
precipitation, radiosonde
measurements of CAPE and lightning - strike counts from the National Lightning Detection Network at the University
of Albany, State University
of New York (UAlbany), they concluded that 77 percent
of the variations in lightning strikes could be predicted from knowing just these two parameters.
We can do a hundred different
measurements on a single little slab
of ice and from that we can tell all sorts
of things; Temperature,
precipitation, storm patterns, where the storm came from, industrial pollutants, forest fires, volcanoes, on and on and on.