Data by Variable#
This page is an entry point for exploring the measurement data collected by the TCO group. The data is organised by variable rather than by instrument. It is intended for users interested in specific measured quantities, such as humidity, temperature or wind, who may not yet be familiar with the instruments used. The aim is to provide a general overview of where data products related to each variable can be found. For more detailed information on individual datasets and instruments, please refer to the relevant instrument pages. It’s intended to provide some rough guidance where to search for individual data products. More detailed explanations can be found with the individual instruments.
Note
The same variable may be measured by different instruments, each of which uses a distinct measurement principle. These differences can affect the accuracy of the data, as well as its temporal and spatial resolution. Therefore, always consider the method behind the measurement when interpreting the results.
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ValueError Traceback (most recent call last)
Cell In[1], line 91
86 entry["alt_max"] = max(zrange)
88 yield entry
---> 91 df = pd.DataFrame.from_records(list(gen_overview_frame(cat)))
93 def format_z(row):
94 if row["is_vertical"]:
Cell In[1], line 71, in gen_overview_frame(cat)
68 continue
70 tstart, tend = variable.cf["time"][[0, -1]].values
---> 71 instrument, location = guess_instrument_and_location(k)
72 is_vertical = "Z" in variable.cf.axes
73 entry = {
74 "dataset": k,
75 "variable": varname,
(...) 81 "location": location,
82 }
Cell In[1], line 53, in guess_instrument_and_location(key)
51 instrument = a
52 else:
---> 53 raise ValueError(f"couldn't guess instrument for dataset {key}")
55 return instrument, location
ValueError: couldn't guess instrument for dataset BCO.radar_KATRIN_c1