Public release of Urbanmet software & datasets.
Home Page: https://urban-meteorology-reading.github.io
License: Creative Commons Zero v1.0 Universal
Urban Meteorology at University of Reading
https://urban-meteorology-reading.github.io/
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Hi, When i want to download the Model-64bit of LUCY. it just have 134b and i can not unzip it. i do not know why.
Besides User Manual - Version 2014a, can you give some advices in the detailed process of LUCY model installation.
Thank you very much and look forward to your reply.
Hi, I am trying to do a SUEWS run using supy and when using the input files from the 2020a download, upon running
df_state_init = sp.init_supy(path_runcontrol)
I get this error:
UnicodeDecodeError
Traceback (most recent call last)
~\AppData\Local\Temp/ipykernel_24724/777218402.py in <module>
----> 1 df_state_init = sp.init_supy(path_runcontrol)
~\Anaconda3\envs\my_dev_env_supy\lib\site-packages\supy\_supy_module.py in init_supy(path_init, force_reload, check_input)
101 if path_init_x.suffix == ".nml":
102 # SUEWS `RunControl.nml`:
--> 103 df_state_init = load_InitialCond_grid_df(
104 path_init_x, force_reload=force_reload
105 )
~\Anaconda3\envs\my_dev_env_supy\lib\site-packages\supy\_load.py in load_InitialCond_grid_df(path_runcontrol, force_reload)
1588 # load base df of InitialCond
1589 logger_supy.debug("loading base df_init...")
-> 1590 df_init = load_SUEWS_InitialCond_df(path_runcontrol)
1591
1592 # add Initial Condition variables from namelist file
~\Anaconda3\envs\my_dev_env_supy\lib\site-packages\supy\_load.py in load_SUEWS_InitialCond_df(path_runcontrol)
1325 path_input = path_runcontrol.parent / dict_ModConfig["fileinputpath"]
1326 logger_supy.debug("loading df_gridSurfaceChar")
-> 1327 df_gridSurfaceChar = load_SUEWS_SurfaceChar_df(path_input)
1328 # df_gridSurfaceChar.to_pickle("df_gridSurfaceChar.pkl")
1329 # only use the first year of each grid as base for initial conditions
~\Anaconda3\envs\my_dev_env_supy\lib\site-packages\supy\_load.py in load_SUEWS_SurfaceChar_df(path_input)
1098 @functools.lru_cache(maxsize=16)
1099 def load_SUEWS_SurfaceChar_df(path_input):
-> 1100 df_gridSurfaceChar_exp = gen_df_gridSurfaceChar_exp(path_input)
1101 dict_var_ndim = {
1102 "ahprof_24hr": (24, 2),
~\Anaconda3\envs\my_dev_env_supy\lib\site-packages\supy\_load.py in gen_df_gridSurfaceChar_exp(path_input)
1082 @functools.lru_cache(maxsize=16)
1083 def gen_df_gridSurfaceChar_exp(path_input):
-> 1084 df_siteselect_exp = gen_df_siteselect_exp(path_input)
1085 dict_var_tuple = exp_dict_full(dict_var2SiteSelect)
1086 df_gridSurfaceChar_exp = pd.concat(
~\Anaconda3\envs\my_dev_env_supy\lib\site-packages\supy\_load.py in gen_df_siteselect_exp(path_input)
956 def gen_df_siteselect_exp(path_input):
957 # df with all code-references values
--> 958 df_all_code = gen_all_code_df(path_input)
959
960 # retrieve all `Code`-relaed names
~\Anaconda3\envs\my_dev_env_supy\lib\site-packages\supy\_load.py in gen_all_code_df(path_input)
875 @functools.lru_cache(maxsize=16)
876 def gen_all_code_df(path_input):
--> 877 dict_libs = load_SUEWS_Libs(path_input)
878 df_siteselect = dict_libs["lib_SiteSelect"]
879 list_code = [code for code in df_siteselect.columns if to_exp_Q(code)]
~\Anaconda3\envs\my_dev_env_supy\lib\site-packages\supy\_load.py in load_SUEWS_Libs(path_input)
268 # lib_path = os.path.join(path_input, lib_file)
269 lib_path = path_input / lib_file
--> 270 dict_libs.update({lib: load_SUEWS_table(lib_path)})
271 # return DataFrame containing settings
272 return dict_libs
~\Anaconda3\envs\my_dev_env_supy\lib\site-packages\supy\_load.py in load_SUEWS_table(path_file)
247 # fileX = path_insensitive(fileX)
248 str_file = str(path_file)
--> 249 rawdata = pd.read_csv(
250 str_file,
251 delim_whitespace=True,
~\Anaconda3\envs\my_dev_env_supy\lib\site-packages\pandas\util\_decorators.py in wrapper(*args, **kwargs)
309 stacklevel=stacklevel,
310 )
--> 311 return func(*args, **kwargs)
312
313 return wrapper
~\Anaconda3\envs\my_dev_env_supy\lib\site-packages\pandas\io\parsers\readers.py in read_csv(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, squeeze, prefix, mangle_dupe_cols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, encoding_errors, dialect, error_bad_lines, warn_bad_lines, on_bad_lines, delim_whitespace, low_memory, memory_map, float_precision, storage_options)
584 kwds.update(kwds_defaults)
585
--> 586 return _read(filepath_or_buffer, kwds)
587
588
~\Anaconda3\envs\my_dev_env_supy\lib\site-packages\pandas\io\parsers\readers.py in _read(filepath_or_buffer, kwds)
480
481 # Create the parser.
--> 482 parser = TextFileReader(filepath_or_buffer, **kwds)
483
484 if chunksize or iterator:
~\Anaconda3\envs\my_dev_env_supy\lib\site-packages\pandas\io\parsers\readers.py in __init__(self, f, engine, **kwds)
809 self.options["has_index_names"] = kwds["has_index_names"]
810
--> 811 self._engine = self._make_engine(self.engine)
812
813 def close(self):
~\Anaconda3\envs\my_dev_env_supy\lib\site-packages\pandas\io\parsers\readers.py in _make_engine(self, engine)
1038 )
1039 # error: Too many arguments for "ParserBase"
-> 1040 return mapping[engine](self.f, **self.options) # type: ignore[call-arg]
1041
1042 def _failover_to_python(self):
~\Anaconda3\envs\my_dev_env_supy\lib\site-packages\pandas\io\parsers\c_parser_wrapper.py in __init__(self, src, **kwds)
67 kwds["dtype"] = ensure_dtype_objs(kwds.get("dtype", None))
68 try:
---> 69 self._reader = parsers.TextReader(self.handles.handle, **kwds)
70 except Exception:
71 self.handles.close()
~\Anaconda3\envs\my_dev_env_supy\lib\site-packages\pandas\_libs\parsers.pyx in pandas._libs.parsers.TextReader.__cinit__()
~\Anaconda3\envs\my_dev_env_supy\lib\site-packages\pandas\_libs\parsers.pyx in pandas._libs.parsers.TextReader._get_header()
~\Anaconda3\envs\my_dev_env_supy\lib\site-packages\pandas\_libs\parsers.pyx in pandas._libs.parsers.TextReader._tokenize_rows()
~\Anaconda3\envs\my_dev_env_supy\lib\site-packages\pandas\_libs\parsers.pyx in pandas._libs.parsers.raise_parser_error()
UnicodeDecodeError: 'utf-8' codec can't decode byte 0xe4 in position 1330: invalid continuation byte
Now i have read lucyusermanual and know how to run it. But if i want to get AHF of one city, for example ,Beijing, China, how can i get the input data and how can i use the mat2ascGUI.exe tool. I can not find the introduction in the lucyusermanual and hope you give me some advices. Thank you.
Hello!
I'm a student from Aalto University and I meet one issue when I try to generate Tmrt map of Helsinki. Hoping you can help me out.
When I try to generate the map through SOLWEIG function, it jump the python error: NumPy boolean array indexing assignment cannot assign 0 input values to the 472045 output values where the mask is true.
All my documents included were successfully generated by Pre-processor. And the success of the test dataset on your website prove it not caused by the bug of the plugin. Do you have any idea about the solution?
Now i have read lucyusermanual and know how to run it. But if i want to get AHF of one city, for example ,Beijing, how can i get the input data and how can i use the mat2ascGUI.exe tool. I can not find the introduction in the lucyusermanual and hope to get some advices. Thank you.
Hi,
My name is Pyoung-Jik Lee from University of Liverpool. I would like to analyse SVF of urban spaces using your code (SVF - IU). As a preliminary test, I took a picture using a fish-eye lens and converted it into a black and white image with a pgm format. Also I then ran the code but the SVF is '0' - please see attached file. I selected 1. Full (160081200) and 2. 180 degree for this image. Can you please tell me what I've done wrong and help me to analyse the SVF? You could contact me via email ([email protected]).
After finished the installation of LUCY, i try to run the model following the User Manual. After i finished the step 1 to 4 and Press EXECUTE, the window is always in the situation of "processing Datasets". But in the output folder, there is no data or other results. I am confused and why is it?
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