Temperature Loggers Climatology for the GBR region (NESP TWQ 4.2, AIMS)

The climatology of the temperature record is important as a reference point for comparison of future values. It also allows computing the anomalies which represent the deviations from an established baseline. The data come from the AIMS temperature loggers program and contain temperature records as old as 1991, providing for some sites, a time series of water temperature of more than 28 years.The climatology of the GBR temperature loggers is based on the hourly registers from loggers with 10 or more years of data, up to 2012 and for reef slope (SL) and reef flat (FL) locations.For each location (SL or FL), the original temperature values, normally at 10 minutes interval, are averaged to the hour and the timestamp set to the beginning of the hour. Only good data is used (QC flag 1) for the calculations. The hourly records are summarised into daily values according to the day-of-the year for each year, and the average temperature for each of the days is calculated. Additional statistical descriptors are also calculated for each day(daily median, minimum, maximum, standard deviation, median absolute deviation and the 0.03, 0.01, 0.1, 0.32, 0.50, 0.68, 0.90, 0.99, and 0.997 quantiles). No aggregation is done for February 29th (leap years), so the resulting climatology is of 366 days. The resulting file (CSV, comma separated) has the following variables:Variable, Description, Possible values Site, site name Location, location name reef flat (FL) reef slope (SL) Yday, Day of the year, 1-366 Temp.dmm, Average temperature for the day in °C, 19.4 - 30.7 Temp.dmax, Maximum temperature for the day in °C, 19.4 – 34.4 Temp.dmin, Minimum temperature for the day in °C, 17.1 – 29.9 Temp.dsd, Standard deviation of the daily temperature values in °C, 0.001 – 2.165 Temp.mad, Median absolute deviation of the daily temperature values in °C, 0 – 2.73 Temp.q003, 0.003 quantile of the daily temperature values in °C, 18.49 – 30.18 Temp.q01, 0.01 quantile of the daily temperature values in °C, 18.73 – 30.18 Temp.q10, 0.10 quantile of the daily temperature values in °C, 19.29 – 30.18 Temp.q32, 0.32 quantile of the daily temperature values in °C, 19.40 – 30.36 Temp.q50, 0.50 quantile (the median) of the daily temperature values in °C, 19.40 – 30.57 Temp.q68, 0.68 quantile of the daily temperature values in °C, 19.40 – 30.92 Temp.q90, 0.90 quantile of the daily temperature values in °C, 19.40 – 32.06 Temp.q99, 0.99 quantile of the daily temperature values in °C, 19.40 – 32.58 Temp.q997, 0.997 quantile of the daily temperature values in °C, 19.40 – 32.69For each of the sites/location a plot of the climatology is also provided including reference lines for mean values for the summer, the maximum and minimal mean and the Maximum Monthly Mean (MMM).The climatology is produced using a dedicated R code function. This function could provide the table of climatological values and the climatological plot. It has a set or arguments that allow the user to customise the output. There is also a short demonstration notebook on how to use the function.

温度记录的气候态作为未来数值对比的参考基准具有重要意义，同时可用于计算表征与既定基准偏差的气候异常值。本数据集源自AIMS温度记录仪项目，收录了最早可追溯至1991年的温度记录，部分站点的海水温度时间序列时长超过28年。
大堡礁（Great Barrier Reef, GBR）温度记录仪的气候态基于截至2012年、具备10年及以上数据时长的记录仪每小时观测记录，覆盖礁坡（reef slope, SL）与礁坪（reef flat, FL）两类站位。针对每类站位（SL或FL），将通常为10分钟间隔的原始温度数据按小时平均，并将时间戳设置为该小时的起始时刻。计算过程仅采用合格数据（质量控制标记QC flag 1）。
将每小时记录按每年的日序汇总为日度数值，并计算每日平均温度。同时为每日计算额外的统计描述量：日度中位数、最小值、最大值、标准差、中位数绝对偏差，以及0.03、0.01、0.1、0.32、0.50、0.68、0.90、0.99、0.997分位数。由于不对2月29日（闰年）进行数据聚合，最终生成的气候态包含366个日期。
最终生成的文件为逗号分隔值（Comma Separated Values, CSV）文件，包含以下变量：
| 变量名 | 变量说明 | 可能取值范围 |
| ------ | -------- | ------------ |
| Site | 站点名称 | - |
| Location | 站位名称，可选礁坪（FL, reef flat）、礁坡（SL, reef slope） | - |
| Yday | 一年中的日序 | 1-366 |
| Temp.dmm | 当日平均温度，单位为摄氏度（°C） | 19.4 ~ 30.7 |
| Temp.dmax | 当日最高温度，单位为摄氏度（°C） | 19.4 ~ 34.4 |
| Temp.dmin | 当日最低温度，单位为摄氏度（°C） | 17.1 ~ 29.9 |
| Temp.dsd | 当日温度值的标准差，单位为摄氏度（°C） | 0.001 ~ 2.165 |
| Temp.mad | 当日温度值的中位数绝对偏差，单位为摄氏度（°C） | 0 ~ 2.73 |
| Temp.q003 | 当日温度值的0.003分位数，单位为摄氏度（°C） | 18.49 ~ 30.18 |
| Temp.q01 | 当日温度值的0.01分位数，单位为摄氏度（°C） | 18.73 ~ 30.18 |
| Temp.q10 | 当日温度值的0.10分位数，单位为摄氏度（°C） | 19.29 ~ 30.18 |
| Temp.q32 | 当日温度值的0.32分位数，单位为摄氏度（°C） | 19.40 ~ 30.36 |
| Temp.q50 | 当日温度值的0.50分位数（即中位数），单位为摄氏度（°C） | 19.40 ~ 30.57 |
| Temp.q68 | 当日温度值的0.68分位数，单位为摄氏度（°C） | 19.40 ~ 30.92 |
| Temp.q90 | 当日温度值的0.90分位数，单位为摄氏度（°C） | 19.40 ~ 32.06 |
| Temp.q99 | 当日温度值的0.99分位数，单位为摄氏度（°C） | 19.40 ~ 32.58 |
| Temp.q997 | 当日温度值的0.997分位数，单位为摄氏度（°C） | 19.40 ~ 32.69 |
针对每个站点/站位，还会提供气候态绘图，其中包含夏季平均温度、最高与最低平均温度以及月均最高温（Maximum Monthly Mean, MMM）的参考线。
本气候态通过专用R代码函数生成。该函数可输出气候态数值表与气候态绘图，用户可通过一系列参数自定义输出结果。此外还提供了一份简短的演示笔记本，用于说明该函数的使用方法。