% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 32086 % Primary Name: ESCALANTE RIVER MOUTH % Record Type: TAVG % Country: United States % State: UT % Latitude: 37.31670 +/- 0.00005 % Longitude: -110.90000 +/- 0.00005 % Elevation (m): 1220.10 +/- 0.05 % # of Months: 25 % % IDs: coop - 422597 % ghcnd - USC00422597 % ncdc - 20026090 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 698d5e9b9ec93fa5cacfe2aab1d29e78 % Raw Data Hash: ec1445750d77f42720d4c2518433566a % Adj Data Hash: ee4aa426fb35841ee82f44b61542d4e9 % % The data for this station is presented below in several columns and in % several forms. The temperature values are reported as "raw", % "adjusted", and "regional expectation". % % The "raw" values reflect the observations as originally ingested by % the Berkeley Earth system from one or more originating archive(s). % These "raw" values may reflect the merger of more than one temperature % time series if multiple archives reported values for this location. % Alongside the raw data we have also provided a flag indicating which % values failed initial quality control checks. A further column % dates at which the raw data may be subject to continuity "breaks" % due to documented station moves (denoted "1"), prolonged measurement % gaps (denoted "2"), documented time of observation changes (denoted "3") % and other empirically determined inhomogeneities (denoted "4"). % % In many cases, raw temperature data contains a number of artifacts, % caused by issues such as typographical errors, instrumentation changes, % station moves, and urban or agricultural development near the station. % The Berkeley Earth analysis process attempts to identify and estimate % the impact of various kinds of data quality problems by comparing each % time series to neighboring series. At the end of the analysis process, % the "adjusted" data is created as an estimate of what the weather at % this location might have looked like after removing apparent biases. % This "adjusted" data will generally to be free from quality control % issues and be regionally homogeneous. Some users may find this % "adjusted" data that attempts to remove apparent biases more % suitable for their needs, while other users may prefer to work % with raw values. % % Lastly, we have provided a "regional expectation" time series, based % on the Berkeley Earth expected temperatures in the neighborhood of the % station. This incorporates information from as many weather stations as % are available for the local region surrounding this location. Note % that the regional expectation may be a systematically a bit warmer or % colder than the weather stations by a few degrees due to differences % in mean elevation and other local characteristics. % % For each temperature time series, we have also included an "anomaly" % time series that removes both the seasonality and the long-term mean. % These anomalies may provide an easier way of seeing changes through % time. % % Reported temperatures are in Celsius and reflect monthly averages. As % these files are intended to be summaries for convenience, additional % information, including more detailed flagging and metadata, may be % available in our whole data set files. % % The Berkeley Earth analysis was run on 15-Nov-2013 19:55:48 % % Raw Data QC Continuity Adjusted Data Regional Expectation % Year, Month, Temperature, Anomaly, Failed, Breaks, Temperature, Anomaly, Temperature, Anomaly 1950 4 NaN NaN NaN NaN NaN NaN 7.411 1.610 1950 5 NaN NaN NaN NaN NaN NaN 9.932 -1.023 1950 6 NaN NaN NaN NaN NaN NaN 15.056 -0.958 1950 7 NaN NaN NaN NaN NaN NaN 18.945 -0.797 1950 8 NaN NaN NaN NaN NaN NaN 17.385 -0.974 1950 9 NaN NaN NaN NaN NaN NaN 13.611 -0.617 1950 10 NaN NaN NaN NaN NaN NaN 11.717 3.302 1950 11 NaN NaN NaN NaN NaN NaN 3.994 2.333 1950 12 NaN NaN NaN NaN NaN NaN 1.198 4.171 1951 1 NaN NaN NaN NaN NaN NaN -3.426 0.505 1951 2 NaN NaN NaN NaN NaN NaN -0.958 0.418 1951 3 NaN NaN NaN NaN NaN NaN 0.805 -0.772 1951 4 17.500 1.744 0 0 17.500 1.744 6.352 0.551 1951 5 21.111 0.201 0 0 21.111 0.201 10.810 -0.145 1951 6 25.833 -0.135 0 0 25.833 -0.135 14.657 -1.357 1951 7 31.500 1.804 0 0 31.500 1.804 20.495 0.754 1951 8 28.889 0.575 0 0 28.889 0.575 17.645 -0.714 1951 9 24.778 0.595 0 0 24.778 0.595 15.059 0.831 1951 10 16.278 -2.092 0 0 16.278 -2.092 7.973 -0.441 1951 11 7.333 -4.282 0 0 7.333 -4.282 0.146 -1.515 1951 12 0.601 -6.381 1 0 NaN NaN -5.132 -2.159 1952 1 -0.609 -6.633 1 0 NaN NaN -5.175 -1.244 1952 2 5.167 -3.412 0 0 5.167 -3.412 -3.313 -1.937 1952 3 7.667 -3.865 0 0 7.667 -3.865 -1.978 -3.555 1952 4 15.333 -0.423 0 0 15.333 -0.423 6.146 0.345 1952 5 22.667 1.757 0 0 22.667 1.757 11.657 0.702 1952 6 27.111 1.142 0 0 27.111 1.142 14.741 -1.273 1952 7 29.316 -0.380 0 0 29.316 -0.380 19.248 -0.493 1952 8 29.500 1.186 0 0 29.500 1.186 18.792 0.433 1952 9 24.111 -0.072 0 0 24.111 -0.072 15.135 0.907 1952 10 19.667 1.297 0 0 19.667 1.297 11.399 2.984 1952 11 11.614 -0.002 1 0 NaN NaN -0.905 -2.566 1952 12 NaN NaN NaN NaN NaN NaN -3.552 -0.580 1953 1 NaN NaN NaN NaN NaN NaN 0.237 4.169 1953 2 NaN NaN NaN NaN NaN NaN -1.242 0.134 1953 3 13.145 1.614 1 0 NaN NaN 1.884 0.307 1953 4 15.803 0.047 1 0 NaN NaN 5.124 -0.676 1953 5 18.278 -2.632 0 0 18.278 -2.632 8.025 -2.930 1953 6 NaN NaN NaN NaN NaN NaN 15.638 -0.376 1953 7 30.330 0.634 1 0 NaN NaN 20.555 0.814 1953 8 27.444 -0.870 0 0 27.444 -0.870 17.348 -1.012 1953 9 NaN NaN NaN NaN NaN NaN 15.564 1.335 1953 10 NaN NaN NaN NaN NaN NaN 8.597 0.182 1953 11 NaN NaN NaN NaN NaN NaN 3.301 1.641 1953 12 NaN NaN NaN NaN NaN NaN -3.339 -0.366 1954 1 NaN NaN NaN NaN NaN NaN -1.987 1.944 1954 2 NaN NaN NaN NaN NaN NaN 2.592 3.968 1954 3 NaN NaN NaN NaN NaN NaN 0.635 -0.942 1954 4 NaN NaN NaN NaN NaN NaN 8.739 2.938 1954 5 NaN NaN NaN NaN NaN NaN 12.966 2.011 1954 6 NaN NaN NaN NaN NaN NaN 15.377 -0.637 1954 7 NaN NaN NaN NaN NaN NaN 20.715 0.974 1954 8 NaN NaN NaN NaN NaN NaN 17.427 -0.933