% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 163927 % Primary Name: DUBUQUE WB CITY % Record Type: TAVG % Country: United States % State: IA % Latitude: 42.44608 +/- 0.05442 % Longitude: -90.68742 +/- 0.02092 % Elevation (m): 191.99 +/- 15.06 % # of Months: 49 % % Alternate Names: DUBUQUE RIVER % % IDs: coop - 132369 % ghcnd - USW00014934 % gsod - 999999-14934 % ncdc - 20006944 % ncdc - 20006972 % wban - 14934 % % Sources: US First Order Summary of the Day % US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Global Summary of the Day % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: ffd6415e5493ea8b2e459845c0082d96 % Raw Data Hash: 1fca1651885535fc6bc0db13af083318 % Adj Data Hash: 7ca357f74d123c4c491bee53da26a24a % % 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 1947 1 NaN NaN NaN NaN NaN NaN -5.703 3.525 1947 2 NaN NaN NaN NaN NaN NaN -9.023 -3.190 1947 3 NaN NaN NaN NaN NaN NaN -1.691 -1.919 1947 4 NaN NaN NaN NaN NaN NaN 7.525 -1.117 1947 5 NaN NaN NaN NaN NaN NaN 12.042 -3.286 1947 6 NaN NaN NaN NaN NaN NaN 18.532 -1.963 1947 7 NaN NaN NaN NaN NaN NaN 21.725 -1.009 1947 8 NaN NaN NaN NaN NaN NaN 26.193 4.628 1947 9 NaN NaN NaN NaN NaN NaN 18.682 1.851 1947 10 NaN NaN NaN NaN NaN NaN 16.469 5.785 1947 11 NaN NaN NaN NaN NaN NaN -0.217 -2.483 1947 12 NaN NaN NaN NaN NaN NaN -3.993 1.249 1948 1 -8.889 -0.686 0 0 -8.889 -0.686 -10.635 -1.407 1948 2 -4.895 -0.086 1 0 NaN NaN -6.298 -0.465 1948 3 0.944 -0.309 0 0 0.944 -0.309 -0.781 -1.009 1948 4 12.444 2.778 0 0 12.444 2.778 11.726 3.084 1948 5 14.500 -1.853 0 0 14.500 -1.853 13.946 -1.382 1948 6 20.333 -1.186 0 0 20.333 -1.186 19.728 -0.767 1948 7 24.389 0.630 0 0 24.389 0.630 23.229 0.495 1948 8 23.444 0.854 0 0 23.444 0.854 22.678 1.113 1948 9 20.056 2.200 0 0 20.056 2.200 18.833 2.002 1948 10 10.833 -0.875 0 0 10.833 -0.875 10.486 -0.198 1948 11 4.778 1.487 0 0 4.778 1.487 4.101 1.835 1948 12 -2.722 1.495 0 0 -2.722 1.495 -4.489 0.753 1949 1 -5.568 2.635 1 0 NaN NaN -8.542 0.686 1949 2 -5.436 -0.627 0 0 -5.436 -0.627 -7.332 -1.499 1949 3 1.792 0.539 0 0 1.792 0.539 -0.034 -0.262 1949 4 9.637 -0.030 0 0 9.637 -0.030 8.814 0.172 1949 5 17.261 0.908 0 0 17.261 0.908 16.542 1.214 1949 6 22.950 1.430 0 0 22.950 1.430 22.175 1.680 1949 7 25.053 1.294 0 0 25.053 1.294 24.200 1.466 1949 8 23.434 0.844 0 0 23.434 0.844 22.536 0.971 1949 9 15.102 -2.754 0 0 15.102 -2.754 14.208 -2.623 1949 10 13.369 1.661 0 0 13.369 1.661 13.102 2.418 1949 11 4.833 1.542 0 0 4.833 1.542 4.215 1.949 1949 12 -2.213 2.004 0 0 -2.213 2.004 -3.793 1.449 1950 1 -5.778 2.425 1 0 NaN NaN -8.151 1.077 1950 2 -4.833 -0.025 0 0 -4.833 -0.025 -6.738 -0.905 1950 3 -0.944 -2.198 0 0 -0.944 -2.198 -2.648 -2.876 1950 4 5.389 -4.278 0 0 5.389 -4.278 5.088 -3.554 1950 5 16.000 -0.353 0 0 16.000 -0.353 15.095 -0.233 1950 6 20.222 -1.298 0 0 20.222 -1.298 19.703 -0.792 1950 7 21.667 -2.092 1 0 NaN NaN 20.525 -2.209 1950 8 20.278 -2.312 0 0 20.278 -2.312 19.418 -2.147 1950 9 17.556 -0.300 0 0 17.556 -0.300 16.431 -0.400 1950 10 14.722 3.014 0 0 14.722 3.014 14.183 3.500 1950 11 0.722 -2.569 0 0 0.722 -2.569 0.052 -2.214 1950 12 -7.611 -3.394 0 0 -7.611 -3.394 -9.412 -4.170 1951 1 -8.333 -0.130 0 0 -8.333 -0.130 -10.833 -1.605 1951 2 -5.556 -0.747 0 0 -5.556 -0.747 -6.406 -0.573 1951 3 -1.444 -2.698 0 0 -1.444 -2.698 -3.654 -3.883 1951 4 7.056 -2.611 0 0 7.056 -2.611 6.429 -2.213 1951 5 17.556 1.203 0 0 17.556 1.203 16.644 1.316 1951 6 18.722 -2.798 0 0 18.722 -2.798 18.284 -2.211 1951 7 22.167 -1.592 0 0 22.167 -1.592 21.578 -1.156 1951 8 20.889 -1.701 0 0 20.889 -1.701 20.351 -1.214 1951 9 16.056 -1.800 0 0 16.056 -1.800 14.834 -1.997 1951 10 11.611 -0.097 0 0 11.611 -0.097 11.429 0.746 1951 11 -1.500 -4.791 0 0 -1.500 -4.791 -1.535 -3.800 1951 12 -5.444 -1.227 0 0 -5.444 -1.227 -6.771 -1.529 1952 1 -6.222 1.981 0 0 -6.222 1.981 -8.153 1.075 1952 2 NaN NaN NaN NaN NaN NaN -1.819 4.014 1952 3 NaN NaN NaN NaN NaN NaN -1.472 -1.700 1952 4 NaN NaN NaN NaN NaN NaN 9.594 0.952 1952 5 NaN NaN NaN NaN NaN NaN 14.535 -0.793 1952 6 NaN NaN NaN NaN NaN NaN 22.224 1.729 1952 7 NaN NaN NaN NaN NaN NaN 23.516 0.782 1952 8 NaN NaN NaN NaN NaN NaN 20.571 -0.994 1952 9 NaN NaN NaN NaN NaN NaN 17.022 0.191 1952 10 NaN NaN NaN NaN NaN NaN 7.836 -2.848 1952 11 NaN NaN NaN NaN NaN NaN 3.432 1.166 1952 12 NaN NaN NaN NaN NaN NaN -3.559 1.683 1953 1 NaN NaN NaN NaN NaN NaN -6.771 2.457