Hi all,
I found an issue with respect to recent (2025) three-hourly 2m temperature analysis data fields in CARRA-East and another issue common for many variables.
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In some months there appear from time to time bias fields in the form of circles with a radius of about 400 km. One type of these circles have increasing absolute biases to the center/pole of the circle. There is one stationary “plus pole” circle east of Svalbard. Another “negative pole” is moving with time. It seems to pop up the first time end of May 2025 with the center at the north coast of Scandinavia. During the following days it moves quickly to the west and later back and forth the same way until mid of June. One month later it appears for about 40 days in the area between Jan Mayen, west coast of Norway and Svalbard. This circle has some area in the east, which is not affected. Plots examples below are for August 16, 2025, 0 UT and June 3, 2025, 6 UT.
Another type of this circle seems not to have that pole feature. It is stationary with the center in the southern part of Novaja Semlja. The plot below shows the data from March 1, 2025, 6 UT.
Instead of the pole feature these circles exhibit sometimes some stripes as in this case, where stripes (or at least “straight” lines) are going from the center to the top, to the right, to the bottom, and to the north. Another common stripe pattern is also visible in the second plot above (June 3, 2025, 6 UT) with a narrow stripe going to the left and a broad one to the southeast. Here, the circle feature is hard to see. I haven’t investigated whether this issue appears in other years, in CARRA-West, or in other variables, too.
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Data of the border cells of the model should not be used. As can be seen in the plots above, they obviously exhibit some biases. This is also true for (many) other variables. I am sure this is an intrinsic feature of models with borders and unavoidable. However, it might be worthwhile to mention that in the known issues page (or to set these data points to undefined).
I don’t want to forget to thank everybody involved for this great data set (and for CARRA2, too)! This is very much appreciated!!
Best regards
Peter


