Sentences with phrase «humidity data from»

I stumbled on this and I'd like to use data from this for my final dissertation.I need temperature, preassure and relative humidity data from at lees 1985 untill nowadays, with the best resolution I can get, I'll be using python to analize and plot the data.

After collecting and analyzing more than two years of temperature and humidity data from a network of 151 sensors throughout the Madison region, they have found some of the area's hottest, and coldest, spots.

To see how recent heat waves stack up against those of years gone by, Gaffen and colleague Rebecca Rosa gathered temperature and humidity data from 113 locations across the country, mostly airports, going back to 1949.

Not exact matches

Their method relies on a powerful computer to combine weather data from several sources and then look for telltale patterns of temperature, humidity...

The data were used to test mathematical models to pinpoint the role and importance of factors associated with H1N1's arrival and spread, including demographics, school opening dates, humidity levels and immunity from previous outbreaks.

The duo first reanalyzed data from a 2007 paper in PloS Pathogens by Peter Palese of Mount Sinai School of Medicine in New York City and his colleagues, who found that virus transmission between two guinea pigs housed in neighboring cages falls as relative humidity rises (ScienceNOW, 19 October 2007).

A reanalysis of data from past studies suggests that low absolute humidity — not low relative humidity, the factor many scientists have studied — helps the virus survive and the flu spread.

Julian Tang, a clinical virologist at the United Kingdom's University Hospitals of Leicester NHS Trust, notes that the humidity and temperature data used in the study come from outdoor weather monitoring stations, whereas it's believed most flu transmission occurs indoors.

The data derived from various sources was combined by Greve and his co-authors — this allowed them to extract trends in terms of a region's humidity and dryness.

The researchers analysed data from Mexico on the occurrence of dengue fever and the effect of climate variables such as, temperature, humidity and rainfall, as well as socioeconomic factors that included population figures and GDP per capita.

Shaman converted the guinea pig data from relative humidity to absolute humidity and found the link between air moisture and flu spread got much stronger.

A new analysis of previous data shows that in low - humidity conditions, the influenza virus is more likely survive, possibly giving it a better shot at spreading from person to person and making us miserable.

A new analysis of previous data shows that in low - humidity conditions, the influenza virus is more likely survive, possibly giving it a better shot at spreading from person to person and making its way to you.

A clear and more detailed explanation can be found in Section 2.1 of the Simmons et al 2010 JGR article «Low - frequency variations in surface atmospheric humidity, temperature, and precipitation: Inferences from reanalyses and monthly gridded observational data sets» (doi: 10.1029 / 2009JD012442).

AOSMET are standard meteorological measurements of the ambient temperature, pressure, relative humidity, and wind speed and direction intended solely for analyzing the data from the AOS instruments.

«Miskolczi additionally shows from 61 years of radiosonde data that a long - term decrease in the Earth's greenhouse effect from humidity decreases in the middle and upper atmosphere have approximately counterbalanced the increase in the greenhouse effect from rising CO2 levels.

Simmons, A. J., K. M. Willett, P. D. Jones, P. W. Thorne, and D. P. Dee, 2010: Low - frequency variations in surface atmospheric humidity, temperature, and precipitation: Inferences from reanalyses and monthly gridded observational data sets.

Low - frequency variations in surface atmospheric humidity, temperature, and precipitation: Inferences from reanalyses and monthly gridded observational data sets

It is a known phenomenon of radiosonde temperature measurement that radiosonde temperature sensors may retain humidity after emerging from cloud, humidity which affects subsequent temperature measurement data.

The DHM data set includes daily flow data for 44 river gauging stations for the period 1964 - 2000, 258 daily precipitation records covering 1956 - 1996, 119 daily and monthly temperature records spanning the period 1934 - 1996, 114 records of average monthly humidity from 1967 - 1997, and 41 records with average monthly values of sunshine hours between 1967 - 1997...

A slight change of ocean temperature (after a delay caused by the high specific heat of water, the annual mixing of thermocline waters with deeper waters in storms) ensures that rising CO2 reduces infrared absorbing H2O vapour while slightly increasing cloud cover (thus Earth's albedo), as evidenced by the fact that the NOAA data from 1948 - 2008 shows a fall in global humidity (not the positive feedback rise presumed by NASA's models!)

Trends in middle - and upper - level tropospheric humidity from NCEP reanalysis data

For example, Fasullo and Trenberth (2012) used satellite data from the NASA Atmospheric Infrared Sounder (AIRS) and Clouds and the Earth's Radiant Energy System (CERES) to examine the relationship between seasonal changes in relative humidity (RH) in the dry subtropics and the Earth's albedo via cloud cover.

It is of course possible that the observed humidity trends from the NCEP data are simply the result of problems with the instrumentation and operation of the global radiosonde network from which the data are derived.

The Potential Intensity (PI) of tropical cyclones (Emanuel, 2003) can be computed from observational data based primarily on vertical profiles of temperature and humidity (see Box 3.5) and on SSTs.

Data is used from at least 30 years and include... Daily high and low temperatures Amount of rainfall Wind speed and direction Humidity Air pressure

However, early radiosonde sensors suffered from significant measurement biases, particularly for the upper troposphere, and changes in instrumentation with time often lead to artificial discontinuities in the data record... Consequently, most of the analysis of radiosonde humidity has focused on trends for altitudes below 500 hPa and is restricted to those stations and periods for which stable instrumentation and reliable moisture soundings are available.

Would such a result require nonsensical changes to the algorithms used to produce a vertical humidity profile from satellite data?

Also, global weather models quickly spin up their own humidity fields and lose the signal from assimilated humidity data.

Anyway, our paper concluded by suggesting that, in view of the extreme significance of upper - level humidity to the climate change story, the international radiosonde data on upper - level humidity should not be «written off» without a serious attempt at abstracting the best possible humidity signal from within the noise of instrumental and operational changes at each of the relevant radiosonde stations.

It is arguably time to tackle the tropospheric humidity issue, but this should be done from the perspective of comparing multiple data sources and assessing the uncertainty, before publishing trend analyses in the context of saying something about climate change.

«Trends in middle - and upper - level tropospheric humidity from NCEP reanalysis data» by Garth Paltridge, Albert Arking and Michael Pook

Paltridge et all appears to search for salvagable, useful portions of reanalysis humidity data which can be culled from the badly - flawed portions.

I meant satellite data in which humidity is calculated for each vertical velocity versus reconstructions based on that data in which humidity is calculated for various atmospheric pressure (using velocity information from the reanalyses to make this determination).

Velocity data from the reanalyses (NCEP2 and ERA - 40 [which has previously been discussed as being more reliable than other variables calculated in the reanalyses]-RRB- is then used to reconstruct a vertical profile of humidity.

I do not know the accuracy of the NCEP reanalysis data on upper tropospheric humidity, but the direct measurement of humidity by weather balloons seems preferable to the very indirect determination from satellite data.

It has been the object of my previous investigations to find this relation; hence, if the temperature and humidity at the earth's surface are known, together with the temperature gradient and the humidity gradient, I can from these data calculate the radiation at different altitudes.

In the lower atmosphere, the available data points to increasing water vapor content, but because of large variations in local humidity from day to night, from day to day, and from season to season, no - one currently knows exactly how much more water vapor is going into the air (IPCC Working Group 1 Assessment Report 4, Chapter 3, «Observations: Surface and Atmospheric Climate Change», page 273).

But the heart of his paper is the construction from published metereological data of a table of mean temperature and relative and absolute humidity for the surface of the earth between 60 degrees south and 70 degrees north.

It remains a significant challenge to retrieve surface air temperature and surface humidity from space, and existing data are not considered to be of the quality needed to generate CDRs.

Buehler S. A, M. Kuvatov, V. O. John, M. Milz, B. J. Soden, D. L. Jackson and J. Notholt (July 2008): An upper tropospheric humidity data set from operational satellite microwave data.

The NCEP / NCAR Reanalysis is the database the researchers drew upon for information about the effects of troposphere humidity, wind shear and zonal stretching deformation on hurricane intensity; sea surface temperature data came from a different database.

To account for the variations in clouds, humidity and temperature, Myhre and Stordahl took the approach of using temperature and water vapor from the ECMWF analyses, climatological ozone data, and ISCCP cloud data; if I were designing this experiment, I would have made the same choices.

With respect to ongoing research, I wonder if a series of high - resolution measurements in the 53 - 57 GHz band from an airborne microwave spectrometer (vertical looking up, vertical looking down and horizontal) under measured conditions of temperature, pressure and humidity might allow improved deconvolution of the satellite data.

The algorithms in Nest Protect take the data from the Split - Spectrum Sensor and combine it with information coming from the humidity sensor built into Nest Protect.

Your Nest devices collect setup information like your ZIP or postal code, your Wi - Fi network information, environmental data from sensors like temperature and humidity, temperature adjustments, usage and occupancy information, and more.

Elgato has updated its HomeKit - compatible Eve app with improved third - party accessory support and new features, including new lighting controls.The Eve family of HomeKit accessories gathers data on air quality, temperature, humidity, air pressure, energy consumption and more, while the Eve app is where data from each Eve product is aggregated and where accessories can be grouped and organized by room for different Siri commands.One big change to version 2.6 of the Eve app is the introduction of a new lighting control interface that allows users to set lamp and light strip colors more easily, and makes stored favorites for particular moods or occasions more accessible.

This data can be anything from temperature or humidity, to movement detectors or traffic monitors.

Finally, the Elgato Eve offers a similar sensor net, gathering data from around your home concerning temperature, humidity, air pressure, and air quality, and giving your phone access to all that info.

Organized data yielded from exposures to help decipher humidity's role in oxidation and other weight change mechanisms