Sentences with phrase «time weather observation»

The biggest difference is a lack of real - time weather observation.

Not exact matches

Contribute to a socially networked weather Almanac for communities to collectively journal climate observations, questions and decisions against near - real time climate information

The researchers took those observations from 2007 and 2008, nearly 12,700 of them, and essentially ran a weather model in reverse to trace those measurements back in time and space.

Throughout the night, the team may make long observations of a few astronomical objects, or they may move from target to target, always trying to make the best possible use of the time and weather conditions.

In addition, when correlations were constrained to the time period that satellite burned area observations were available from the Moderate Resolution Imaging Spectroradiometer (MODIS)(2001 - 2012), and thus where estimates of land - use change carbon emissions were more certain2, correlations between fire weather season length, long fire season affected area and net land carbon fluxes increased substantially to ρ = − 0.797 and ρ = − 0.825, respectively, n = 12, P < 0.01).

Some of the discontinuities (which can be of either sign) in weather records can be detected using jump point analyses (for instance in the new version of the NOAA product), others can be adjusted using known information (such as biases introduced because changes in the time of observations or moving a station).

Clear seasonal patterns can be identified, concentrating around Christmas and New Year time, as well as Valentine's Day, and the general observation that cold weather is conducive to online dating.

There are a lot of technical observations — pointing out real penguins vs. CGI, different types of fake snow, discussing the digital video cameras used, recalling filming weather conditions and times — that most viewers won't care to hear about, at least not for 94 minutes.

The back of each painting is documented with its location, date, time of day, weather conditions, and brief observations about the day.

These are weather models which have the real world observations assimilated into the solution to provide a «best guess» of the evolution of weather over time (although pre-satellite era estimates (before 1979) are less accurate).

Some of the discontinuities (which can be of either sign) in weather records can be detected using jump point analyses (for instance in the new version of the NOAA product), others can be adjusted using known information (such as biases introduced because changes in the time of observations or moving a station).

In the end, climate observations have requirements that are typically ten times more accurate than weather, and require 10 times as many variables to be observed.

While others have pointed out already that weather & climate (weather trends over very long spans of time) are different, I can offer you my observations on recent Alaskan weather.

In the paper1, the authors used data from weather stations around the world; those in China «were selected on the basis of station history: we chose those with few, if any, changes in instrumentation, location or observation times», they wrote.

The Project focused on historical analyses of the hydrological cycle on a broad range of weather and climate time scales and placed the NASA EOS suite of observations in a climate context.

Using NOAA database of weather balloon observations that goes back to 1948 he studied the absorption of infrared radiation by the atmosphere over time.

There are some source of predictability that are still not fully resolved (including those dealing with improving climate models, but also related to unexplored initial conditions or driving conditions), and a great benefit of these predictability studies is that they mimic the practice of weather prediction by confronting models with observations at the relevant time and spatial scales, leading to the necessary inspiration for this model improvement.

Confirmation with out - of - sample observations is possible for forecasts have a short time horizon that can be compared to out - of - sample observations (e.g. weather forecasts).

Ultimately Watts et al. fail to account for changing time of observations, that instruments change, or that weather stations are sometimes relocated, causing them to wrongly conclude that uncorrected data are much better than data that takes all this into account.

This is particularly exciting because lately I've been doing some very fine grained analysis of a model with a 30 minute timestep, so this allows a very direct comparison between the «real - time» weather in observations and a model.

In addition to treating cloud transmission based only on the measurements at the local time of the TOMS observations, the results from other satellites and weather assimilation models can be used to estimate atmospheric UV irradiance transmission throughout the day.

FOR some time, weather enthusiasts across Australia have been noticing rapid temperature fluctuations at the «latest observations» page at the Australian Bureau of Meteorology's website.

My conclusion is that a careful observation of weather patterns over the entire globe and, in particular, ascertaining whether there is a net average surface movement of air towards the poles or towards the equator should reveal whether there is an overall global warming or cooling trend at any particular time.

See, the first thing to do is do determine what the temperature trend during the recent thermometer period (1850 — 2011) actually is, and what patterns or trends represent «data» in those trends (what the earth's temperature / climate really was during this period), and what represents random «noise» (day - to - day, year - to - random changes in the «weather» that do NOT represent «climate change»), and what represents experimental error in the plots (UHI increases in the temperatures, thermometer loss and loss of USSR data, «metadata» «M» (minus) records getting skipped that inflate winter temperatures, differences in sea records from different measuring techniques, sea records vice land records, extrapolated land records over hundreds of km, surface temperature errors from lousy stations and lousy maintenance of surface records and stations, false and malicious time - of - observation bias changes in the information.)

Instead of just performing a statistical analysis of the weather station and sea surface observations, the reanalysis attempts to construct a complete model of the state of the Earth's atmosphere at any point in time.

Ed commented, «The fastest way to collect new weather observations is by looking back in time.

Just an observation for you Global Warming kooks: How can we accept as true these theoretical weather scientists about something that has purportedly caused a lot of studying over millions of man hours, if these same scientists can't even agree on where a storm is going in real time?

Using NOAA database of weather balloon observations that goes back to 1948 he studied the infrared absorption of the atmosphere over time.

Astute observers will be aware that weather stations don't take a single temperature measurement at the observation time.

We appear to have a perfect storm: Detailed observations of more extreme weather in North America in recent years are now coming at the same time as new scientific analyses that can explain why manmade climate change is boosting extreme weather in our continent.

The boundary conditions, the variance and variables get more easily modeled as more time is utilized and of course various scenarios from empirical observations are inputed; the sites I pasted and the book I recommended explain a lot about the weather and climate models, similarities and differences.

This task has become easier over the last decade with the development of advanced methods of Data Assimilation commonly used in atmospheric sciences to optimally combine a short forecast with the latest meteorological observations in order to create accurate initial conditions for weather forecasts generated several times a day by the National Weather Services (e.g., [194,195,196,197,198]-RRB-.

Climate is individual weather observations / predictions integrated over time and area, taking longer - scale trends into account and allowing us to identify such trends.

Peter Whale says: August 14, 2010 at 11:25 am Could someone on either side of the debate give me what weather conditions over an agreed period of time, that would then turn the observations so that they could be called climate, which would then either confirm catastrophic warming or confirm natural cause and variation =======================================================

Could someone on either side of the debate give me what weather conditions over an agreed period of time, that would then turn the observations so that they could be called climate, which would then either confirm catastrophic warming or confirm natural cause and variation.