The values shown are for the initial month of a deployment in the Red Sea and two deployments south of Martha's Vineyard. Temperature difference between T c at 1.3 or 1.0 m and T mc at 0.6 m when the upper 10 m is well mixed, as a function of solar radiation ( Q sw). Night is defined as times when downward solar radiation is less than 5 W m −2 and day when downward solar radiation is greater than 100 W m −2. Water column is defined as well mixed when all MicroCAT temperatures are within 0.02☌ of the depth-average T mc. RMS differences are from (a) three mooring sites south of Martha's Vineyard, (b) three Red Sea mooring sites, and (c) three Red Sea mooring sites with the Temp Pros wrapped in white electrical tape to reduce solar heating of loggers. RMS differences between T c at different depths and the depth-average T mc during the day (red) and night (blue) when the water column is well mixed. Note the much larger temperature difference range in (b) relative to (a). Time series of the temperature difference between calibrated Temp Pros at 1.3- and 8.1-m depth ( T c) and the depth-averaged MicroCAT temperatures ( T mc) when the temperature in the upper 10 m is vertically uniform, during the (a) night and (b) day from a mooring in the Red Sea. The exponential response assuming a response time of t r = 3 min (line) is shown for comparison. Time response of the temperature T p( t) measured by 70 Temp Pros (dots) when the calibration bath temperature was abruptly increased from T i = 25☌ to T f = 30☌. The thin dashed lines indicate a change of (a) ☐.02☌ in the bias and (b) ☐.002 in the slope. The thick dashed lines indicate no change in the bias or slope between the first and subsequent calibrations. Variations in bias and slope over two or three calibrations separated by more than a year. Note change in RMS error range between (a) and (b).ĭistributions of the (a) bias, (b) slope, and (c) curvature of a quadratic fit of each Temp Pro to the calibration bath temperatures. If one of the inputs is a multidimensional raster and the other input is a constant, the operator will perform the operation for all slices for all variables against the constant value, and the output will be a multidimensional raster.Distribution of the RMS error for 158 Temp Pros relative to a calibration bath (a) using factory calibration and (b) after applying a calibration correction based on a quadratic fit to the bath temperatures. If both inputs have one variable but different names, set the matchMultidimensionalVariable geoprocessing environment to False to perform the operation. The variables in the inputs must have same dimensions or common dimension but no uncommon dimensions. If both inputs are multidimensional rasters with same number of variables, the operator will perform the operation for all slices with same dimension value, and the output will be a multidimensional raster. If one of the inputs is a multiband raster and the other input is a constant, the operator will perform the operation against the constant value for each band in the multiband input, and the output will be a multiband raster. The number of bands in each multiband input must be the same. If both inputs are multiband rasters, the operator will perform the operation on each band from one input, and the output will be a multiband raster. If both inputs are single-band rasters, or one of the inputs is a constant, the output will be a single-band raster.
The order of the input is relevant for this operator. Two inputs are necessary for the evaluation to take place. For more information, see complex statement rules section of Build complex statements. To avoid this potential problem, use appropriate parentheses in the expression so that the execution order of the operators is explicitly defined. When multiple Relational and/or Boolean operators are used consecutively in a single expression, in some cases, it may fail to execute. To change the order of execution, use parentheses. Therefore, when Boolean operators are used in the same expression as Relational operators, the Boolean operators will be executed first. In the relational evaluation, if the condition is true (the first input value is greater than the second input value), the output is 1 if it is false, the output is 0. The relational greater-than operation evaluates the first input value in relation to the second input value on a cell-by-cell basis within the Analysis window.
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