Sentences with phrase «station observations recorded»

These indices are also calculated from weather station observations recorded at 22 locations within southwestern British Columbia, Canada, to evaluate the performance of both the 10 - km and 800 - m datasets in replicating the observed quantities.

Not exact matches

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).

These sources included: (1) records of gray whale catches off the Korean coast between 1948 and 1966), (2) an observation of four gray whales in the western Okhotsk Sea in 1967 and (3) a sighting of a mother - Remote research station used since 1995 to conduct research on gray whales feeding off Sakhalin Island seen in the background, while a gray whale feeds near shore in the foreground.

The lab supplies our students with resources that are normally available only from a major publisher, including 10 group testing stations, a living room style lab with an observation booth for real - world evaluations, and real - time high definition recording and broadcasting equipment.

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).

Has anyone any experience with this: 27.5.7 Records of the Division of Station Facilities and Meteorological Observations and its predecessors

Steve, unfortunately for this station the raw data ends in 1984, so it's a bit hard to say much about a difference in slope between raw and adjusted data from 1970 - 1984 (I would have to do a significance testing to see if you even have enough data records for any slope to be significant for only 15 years of observations).

It seems to me that with thousands of station changes and millions of observations that changes resulting in warmer recordings would be offset by a more or less equal number of changes resulting in cooler recordings.

Because the GISS analysis combines available sea surface temperature records with meteorological station measurements, we test alternative choices for the ocean data, showing that global temperature change is sensitive to estimated temperature change in polar regions where observations are limited.

The period of increased warming from 1987 to 1997 loosely coincided with the divergence of the global average temperature anomalies over land, which are derived from observation station recordings, and the global average anomalies in sea surface temperatures.

The Bureau of Meteorology's Monthly Weather Review is based on observations from all available years of data at all WA stations with a temperature record longer than 30 years.

The median trends for all the sites range from 0.98 °C per century for sites with more than two months of observations and to 0.97 °C per century for stations with record lengths greater than 30 years.

This discontinuity of observation location, if the records are correct, are fairly typical of the surfaces stations I have visited or looked up.

The USHCN TOB adjustments are made month by month, and station by station, and seem quite plausible if the records of times of observation are correct.

As the trend in the US rural stations, which at least until very recently employed these min / max stations, has been from early evening observation (5 pm or 7 pm in most of the sources I've found) to early morning observation (usually 7 am), this has been presumed to put an artificial cooling bias into the temperature record, so a net positive, and increasing as more stations have been converted, correction has been added to the raw data.

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.)

Anomalies provide a useful way of salvaging temperature records corrupted by problems of station loss, relocation, changing observation times etc. etc..

Second, orbital instrumental observations provide only a recent record of land surface area temperature assessment, and the methods involved had to be calibrated against the prevailing standards of proximal thermometric determination, the widely - ranged system of meteorological thermometers in these United States providing (as others here have observed) a sort of «gold standard» in terms of technology, maintenance, and reliability as compared with similar broadly spaced systems of monitoring stations.

Surface observations made at weather stations and onboard ships, dating back over a century, provide the longest available records of cloud cover changes.

The catalogue includes current details of each weather station and a history of observations at the location, including record length and relevant metadata.

Global temperatures are adjusted to account for the effects of station moves, instrument changes, time of observation (TOBs) changes, and other factors (referred to as inhomogenities) that cause localized non-climatic biases in the instrumental record.

There is a cooling bias of about 0.5 C introduced to the conterminous U.S. temperature record from CRN data by shifting observation times from 5 PM to 7 AM in 50 percent of stations.

Unfortunately, we are stuck with the historical temperature record, where there are only a handful of stations in the world that have remained at the exact same location with the exact same instrument and observation time with no major changes to micro - or meso - scale environments over the last 100 + years.

MMTS (at least the ones used by co-op stations) do not record hourly temperatures and provide a daily min / max value that needs to be reset at the observation time just like old LiG min / max thermometers.