% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 15661 % Primary Name: KERMAN % Record Type: TAVG % Country: Iran % Latitude: 30.35000 +/- 0.00050 % Longitude: 57.16700 +/- 0.00050 % Elevation (m): 1990.00 +/- 0.05 % # of Months: 32 % % IDs: gsod - 408190-99999 % usaf - 408190 % % Sources: Global Summary of the Day % % Site Hash: dd03a209f561fb5a02138628b7eba56b % Raw Data Hash: 850534307ed38b2364a23bd5f0415d46 % Adj Data Hash: 097bc425162a0df8a97faba876c0af00 % % 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 1948 5 NaN NaN NaN NaN NaN NaN 21.377 1.061 1948 6 NaN NaN NaN NaN NaN NaN 24.238 -0.570 1948 7 NaN NaN NaN NaN NaN NaN 26.288 0.195 1948 8 NaN NaN NaN NaN NaN NaN 23.871 -0.411 1948 9 NaN NaN NaN NaN NaN NaN 20.544 -0.295 1948 10 NaN NaN NaN NaN NaN NaN 14.535 -1.118 1948 11 NaN NaN NaN NaN NaN NaN 8.581 -0.947 1948 12 NaN NaN NaN NaN NaN NaN 4.670 -0.435 1949 1 NaN NaN NaN NaN NaN NaN 1.093 -2.688 1949 2 NaN NaN NaN NaN NaN NaN 5.434 -0.871 1949 3 NaN NaN NaN NaN NaN NaN 9.956 -0.595 1949 4 NaN NaN NaN NaN NaN NaN 14.473 -0.539 1949 5 25.926 2.391 0 0 25.926 2.391 21.457 1.141 1949 6 27.490 -0.537 1 0 NaN NaN 24.112 -0.696 1949 7 30.074 0.762 0 0 30.074 0.762 25.995 -0.098 1949 8 25.103 -2.398 1 0 NaN NaN 23.141 -1.142 1949 9 24.421 0.363 1 0 NaN NaN 21.018 0.179 1949 10 18.049 -0.823 1 0 NaN NaN 13.434 -2.218 1949 11 8.934 -3.812 0 0 8.934 -3.812 6.659 -2.868 1949 12 8.188 -0.137 0 0 8.188 -0.137 5.284 0.178 1950 1 5.527 -1.473 0 0 5.527 -1.473 2.678 -1.103 1950 2 5.621 -3.902 0 0 5.621 -3.902 3.152 -3.152 1950 3 11.466 -2.305 0 0 11.466 -2.305 9.164 -1.388 1950 4 15.307 -2.924 0 0 15.307 -2.924 12.759 -2.253 1950 5 22.073 -1.461 1 0 NaN NaN 20.225 -0.090 1950 6 28.594 0.567 0 0 28.594 0.567 24.876 0.068 1950 7 30.620 1.308 0 0 30.620 1.308 26.590 0.497 1950 8 28.484 0.982 0 0 28.484 0.982 24.733 0.451 1950 9 22.763 -1.296 0 0 22.763 -1.296 19.948 -0.891 1950 10 19.729 0.857 0 0 19.729 0.857 16.502 0.849 1950 11 11.613 -1.134 0 0 11.613 -1.134 8.338 -1.190 1950 12 6.378 -1.947 0 0 6.378 -1.947 3.407 -1.699 1951 1 6.878 -0.122 0 0 6.878 -0.122 4.423 0.642 1951 2 7.502 -2.021 0 0 7.502 -2.021 5.173 -1.131 1951 3 12.018 -1.753 0 0 12.018 -1.753 9.365 -1.187 1951 4 17.030 -1.201 0 0 17.030 -1.201 13.591 -1.421 1951 5 23.142 -0.393 0 0 23.142 -0.393 19.533 -0.782 1951 6 28.169 0.142 0 0 28.169 0.142 23.919 -0.889 1951 7 28.815 -0.496 0 0 28.815 -0.496 24.947 -1.146 1951 8 27.439 -0.062 0 0 27.439 -0.062 23.984 -0.299 1951 9 25.681 1.623 0 0 25.681 1.623 21.981 1.141 1951 10 21.482 2.610 0 0 21.482 2.610 17.832 2.179 1951 11 13.202 0.455 0 0 13.202 0.455 9.882 0.354 1951 12 8.738 0.414 0 0 8.738 0.414 6.236 1.130 1952 1 NaN NaN NaN NaN NaN NaN 3.667 -0.114 1952 2 NaN NaN NaN NaN NaN NaN 7.919 1.614 1952 3 NaN NaN NaN NaN NaN NaN 11.571 1.019 1952 4 NaN NaN NaN NaN NaN NaN 15.449 0.437 1952 5 NaN NaN NaN NaN NaN NaN 19.575 -0.740 1952 6 NaN NaN NaN NaN NaN NaN 24.046 -0.762 1952 7 NaN NaN NaN NaN NaN NaN 24.464 -1.629 1952 8 NaN NaN NaN NaN NaN NaN 22.538 -1.744 1952 9 NaN NaN NaN NaN NaN NaN 19.601 -1.239 1952 10 NaN NaN NaN NaN NaN NaN 14.305 -1.348 1952 11 NaN NaN NaN NaN NaN NaN 9.257 -0.271 1952 12 NaN NaN NaN NaN NaN NaN 5.599 0.494