33---
44documentation :
55
6- title : GEVs 2021 BC heatwave
6+ title : TXx model evaluation
77
8- description : This is a recipe for analysing 2021 BC heat wave .
8+ description : This is a recipe for do TXx variability model evaluation .
99
1010 authors :
1111 - malinina_elizaveta
1212
1313preprocessors :
14- preproc_tnn_map :
14+ preproc_txx_map :
1515 custom_order : True
1616 regrid :
1717 target_grid : 0.5x0.5
@@ -23,97 +23,88 @@ preprocessors:
2323 end_longitude : 335
2424 start_latitude : 35
2525 end_latitude : 80
26- seasonal_statistics :
27- seasons : [SONDJFMAMJ, JA]
28- operator : min
2926 annual_statistics :
30- operator : min
31- anomalies :
32- period : full
33- reference :
34- start_year : 1981
35- start_month : 1
36- start_day : 1
37- end_year : 2010
38- end_month : 12
39- end_day : 31
27+ operator : max
28+ detrend :
29+ dimension : time
30+ method : linear
4031 climate_statistics :
4132 operator : std_dev
4233 period : full
4334
4435
4536datasets_cmip : &datasets_cmip
46- - {dataset: ACCESS-CM2, institute: CSIRO-ARCCSS, ensemble: r(1:10)i1p1f1, grid: gn}
47- - {dataset: ACCESS-ESM1-5, institute: CSIRO, ensemble: r(1:40)i1p1f1, grid: gn}
48- - {dataset: AWI-CM-1-1-MR, institute: AWI, ensemble: r1i1p1f1, grid: gn}
49- - {dataset: BCC-CSM2-MR, institute: BCC, ensemble: r1i1p1f1, grid: gn}
50- - {dataset: CanESM5, institute: CCCma, ensemble: r(1:25)i1p1f1, grid: gn}
51- - {dataset: CanESM5, institute: CCCma, ensemble: r(1:25)i1p2f1, grid: gn}
52- - {dataset: CanESM5-1, institute: CCCma, ensemble: r1i1p(1:2)f1, grid: gn}
53- - {dataset: CNRM-CM6-1, ensemble: r1i1p1f2, grid: gr}
54- - {dataset: CNRM-ESM2-1, ensemble: r1i1p1f2, grid: gr}
55- - {dataset: CMCC-ESM2, ensemble: r1i1p1f1, grid: gn}
56- - {dataset: EC-Earth3, ensemble: r1i1p1f1, grid: gr}
57- - {dataset: EC-Earth3, ensemble: r4i1p1f1, grid: gr}
58- - {dataset: EC-Earth3, ensemble: r(6:7)i1p1f1, grid: gr}
59- - {dataset: EC-Earth3, ensemble: r(9:10)i1p1f1, grid: gr}
60- - {dataset: EC-Earth3-Veg, ensemble: r1i1p1f1, grid: gr}
61- - {dataset: EC-Earth3-Veg, ensemble: r3i1p1f1, grid: gr}
62- - {dataset: EC-Earth3-Veg, ensemble: r5i1p1f1, grid: gr}
63- - {dataset: EC-Earth3-Veg-LR, ensemble: r(1:3)i1p1f1, grid: gr}
64- - {dataset: FGOALS-g3, institute: CAS, ensemble: r1i1p1f1, grid: gn}
65- - {dataset: FGOALS-g3, institute: CAS, ensemble: r3i1p1f1, grid: gn}
66- - {dataset: GFDL-ESM4, institute: NOAA-GFDL, ensemble: r1i1p1f1, grid: gr1}
67- - {dataset: GFDL-CM4, institute: NOAA-GFDL, ensemble: r1i1p1f1, grid: gr1}
68- - {dataset: HadGEM3-GC31-LL, institution: MOHC, ensemble: r(1:5)i1p1f3, grid: gn}
69- - {dataset: INM-CM4-8, institute: INM, ensemble: r1i1p1f1, grid: gr1}
70- - {dataset: INM-CM5-0, institute: INM, ensemble: r1i1p1f1, grid: gr1}
71- - {dataset: IPSL-CM6A-LR, institute: IPSL, ensemble: r(1:6)i1p1f1, grid: gr}
72- - {dataset: IPSL-CM6A-LR, institute: IPSL, ensemble: r(10:11)i1p1f1, grid: gr}
73- - {dataset: IPSL-CM6A-LR, institute: IPSL, ensemble: r14i1p1f1, grid: gr}
74- - {dataset: IPSL-CM6A-LR, institute: IPSL, ensemble: r22i1p1f1, grid: gr}
75- - {dataset: IPSL-CM6A-LR, institute: IPSL, ensemble: r25i1p1f1, grid: gr}
76- - {dataset: KACE-1-0-G, ensemble: r(1:3)i1p1f1, grid: gr}
77- - {dataset: MIROC6, institute: MIROC, ensemble: r(1:50)i1p1f1, grid: gn}
78- - {dataset: MIROC-ES2L, institute: MIROC, ensemble: r1i1p1f2, grid: gn}
79- - {dataset: MPI-ESM1-2-LR, institute: MPI-M, ensemble: r(1:49)i1p1f1, grid: gn}
80- - {dataset: MPI-ESM1-2-HR, ensemble: r(1:2)i1p1f1, grid: gn}
81- - {dataset: MRI-ESM2-0, institute: MRI, ensemble: r(1:5)i1p1f1, grid: gn}
82- - {dataset: NESM3, ensemble: r1i1p1f1, grid: gn}
83- - {dataset: NorESM2-LM, institute: NCC, ensemble: r(2:3)i1p1f1, grid: gn}
84- - {dataset: NorESM2-MM, institute: NCC, ensemble: r(1:2)i1p1f1, grid: gn}
85- - {dataset: TaiESM1, institute: AS-RCEC, ensemble: r1i1p1f1, grid: gn}
86- - {dataset: UKESM1-0-LL, ensemble: r(1:4)i1p1f2, grid: gn}
87- - {dataset: UKESM1-0-LL, ensemble: r(9:12)i1p1f2, grid: gn}
88- - {dataset: UKESM1-0-LL, ensemble: r(16:19)i1p1f2, grid: gn}
37+ - {dataset: ACCESS-CM2, institute: CSIRO-ARCCSS, ensemble: r(1:10)i1p1f1, grid: gn, start_year: 1957, end_year: 2032, exp: [historical, ssp245]}
38+ - {dataset: ACCESS-ESM1-5, institute: CSIRO, ensemble: r(1:40)i1p1f1, grid: gn, start_year: 1960, end_year: 2035, exp: [historical, ssp245]}
39+ - {dataset: AWI-CM-1-1-MR, institute: AWI, ensemble: r1i1p1f1, grid: gn, start_year: 1940, end_year: 2015, exp: [historical, ssp245]}
40+ - {dataset: BCC-CSM2-MR, institute: BCC, ensemble: r1i1p1f1, grid: gn, start_year: 1960, end_year: 2035, exp: [historical, ssp245]}
41+ - {dataset: CanESM5, institute: CCCma, ensemble: r(1:25)i1p1f1, grid: gn, start_year: 1937, end_year: 2012, exp: historical}
42+ - {dataset: CanESM5, institute: CCCma, ensemble: r(1:25)i1p2f1, grid: gn, start_year: 1937, end_year: 2012, exp: historical}
43+ - {dataset: CanESM5-1, institute: CCCma, ensemble: r1i1p(1:2)f1, grid: gn, start_year: 1939, end_year: 2014, exp: historical}
44+ - {dataset: CNRM-CM6-1, ensemble: r1i1p1f2, grid: gr, start_year: 1953, end_year: 2028, exp: [historical, ssp245]}
45+ - {dataset: CNRM-ESM2-1, ensemble: r1i1p1f2, grid: gr, start_year: 1960, end_year: 2035, exp: [historical, ssp245]}
46+ - {dataset: CMCC-ESM2, ensemble: r1i1p1f1, grid: gn, start_year: 1941, end_year: 2016, exp: [historical, ssp245]}
47+ - {dataset: EC-Earth3, ensemble: r(1:2)i1p1f1, grid: gr, start_year: 1943, end_year: 2018, exp: [historical, ssp245]}
48+ - {dataset: EC-Earth3, ensemble: r(4:7)i1p1f1, grid: gr, start_year: 1943, end_year: 2018, exp: [historical, ssp245]}
49+ - {dataset: EC-Earth3, ensemble: r(9:10)i1p1f1, grid: gr, start_year: 1943, end_year: 2018, exp: [historical, ssp245]}
50+ - {dataset: EC-Earth3, ensemble: r14i1p1f1, grid: gr, start_year: 1943, end_year: 2018, exp: [historical, ssp245]}
51+ - {dataset: EC-Earth3, ensemble: r16i1p1f1, grid: gr, start_year: 1943, end_year: 2018, exp: [historical, ssp245]}
52+ - {dataset: EC-Earth3, ensemble: r(18:19)i1p1f1, grid: gr, start_year: 1943, end_year: 2018, exp: [historical, ssp245]}
53+ - {dataset: EC-Earth3, ensemble: r(21:25)i1p1f1, grid: gr, start_year: 1943, end_year: 2018, exp: [historical, ssp245]}
54+ - {dataset: EC-Earth3-CC, ensemble: r1i1p1f1, grid: gr, start_year: 1946, end_year: 2021, exp: [historical, ssp245]}
55+ - {dataset: EC-Earth3-CC, ensemble: r4i1p1f1, grid: gr, start_year: 1946, end_year: 2021, exp: [historical, ssp245]}
56+ - {dataset: EC-Earth3-CC, ensemble: r(6:11)i1p1f1, grid: gr, start_year: 1946, end_year: 2021, exp: [historical, ssp245]}
57+ - {dataset: EC-Earth3-CC, ensemble: r13i1p1f1, grid: gr, start_year: 1946, end_year: 2021, exp: [historical, ssp245]}
58+ - {dataset: EC-Earth3-Veg, ensemble: r1i1p1f1, grid: gr, start_year: 1930, end_year: 2005, exp: historical}
59+ - {dataset: EC-Earth3-Veg, ensemble: r(4:6)i1p1f1, grid: gr, start_year: 1930, end_year: 2005, exp: historical}
60+ - {dataset: EC-Earth3-Veg, ensemble: r12i1p1f1, grid: gr, start_year: 1930, end_year: 2005, exp: historical}
61+ - {dataset: EC-Earth3-Veg, ensemble: r14i1p1f1, grid: gr, start_year: 1930, end_year: 2005, exp: historical}
62+ - {dataset: EC-Earth3-Veg-LR, ensemble: r(1:3)i1p1f1, grid: gr, start_year: 1951, end_year: 2026, exp: [historical, ssp245]}
63+ - {dataset: FGOALS-g3, institute: CAS, ensemble: r1i1p1f1, grid: gn, start_year: 1941, end_year: 2016, exp: [historical, ssp245]}
64+ - {dataset: FGOALS-g3, institute: CAS, ensemble: r(3:4)i1p1f1, grid: gn, start_year: 1941, end_year: 2016, exp: [historical, ssp245]}
65+ - {dataset: GFDL-ESM4, institute: NOAA-GFDL, ensemble: r1i1p1f1, grid: gr1, start_year: 1962, end_year: 2037, exp: [historical, ssp245]}
66+ - {dataset: INM-CM4-8, institute: INM, ensemble: r1i1p1f1, grid: gr1, start_year: 1949, end_year: 2024, exp: [historical, ssp245]}
67+ - {dataset: INM-CM5-0, institute: INM, ensemble: r1i1p1f1, grid: gr1, start_year: 1953, end_year: 2028, exp: [historical, ssp245]}
68+ - {dataset: IPSL-CM6A-LR, institute: IPSL, ensemble: r(1:6)i1p1f1, grid: gr, start_year: 1938, end_year: 2013, exp: historical}
69+ - {dataset: IPSL-CM6A-LR, institute: IPSL, ensemble: r(10:11)i1p1f1, grid: gr, start_year: 1938, end_year: 2013, exp: historical}
70+ - {dataset: IPSL-CM6A-LR, institute: IPSL, ensemble: r14i1p1f1, grid: gr, start_year: 1938, end_year: 2013, exp: historical}
71+ - {dataset: IPSL-CM6A-LR, institute: IPSL, ensemble: r22i1p1f1, grid: gr, start_year: 1938, end_year: 2013, exp: historical}
72+ - {dataset: IPSL-CM6A-LR, institute: IPSL, ensemble: r25i1p1f1, grid: gr, start_year: 1938, end_year: 2013, exp: historical}
73+ - {dataset: MIROC6, institute: MIROC, ensemble: r(1:50)i1p1f1, grid: gn, start_year: 1963, end_year: 2038, exp: [historical, ssp245]}
74+ - {dataset: MIROC-ES2L, institute: MIROC, ensemble: r(1:30)i1p1f2, grid: gn, start_year: 1961, end_year: 2036, exp: [historical, ssp245]}
75+ - {dataset: MPI-ESM1-2-LR, institute: MPI-M, ensemble: r(1:50)i1p1f1, grid: gn, start_year: 1945, end_year: 2020, exp: [historical, ssp245]}
76+ - {dataset: MPI-ESM1-2-HR, ensemble: r(1:2)i1p1f1, grid: gn, start_year: 1946, end_year: 2021, exp: [historical, ssp245]}
77+ - {dataset: MRI-ESM2-0, institute: MRI, ensemble: r(1:5)i1p1f1, grid: gn, start_year: 1956, end_year: 2031, exp: [historical, ssp245]}
78+ - {dataset: NESM3, ensemble: r1i1p1f1, grid: gn, start_year: 1950, end_year: 2025, exp: [historical, ssp245]}
79+ - {dataset: NorESM2-LM, institute: NCC, ensemble: r(2:3)i1p1f1, grid: gn, start_year: 1976, end_year: 2051, exp: [historical, ssp245]}
80+ - {dataset: NorESM2-MM, institute: NCC, ensemble: r2i1p1f1, grid: gn, start_year: 1966, end_year: 2041, exp: [historical, ssp245]}
81+ - {dataset: TaiESM1, institute: AS-RCEC, ensemble: r1i1p1f1, grid: gn, start_year: 1966, end_year: 2041, exp: [historical, ssp245]}
8982
9083dataset_era : &dataset_era
91- - {dataset: ERA5, project: OBS6, type: reanaly, version: v1, tier: 3}
84+ - {dataset: ERA5, project: OBS6, type: reanaly, version: v1, tier: 3, start_year: 1948, end_year: 2024 }
9285
9386diagnostics :
9487 analytics :
9588 description : Figure for BC extremes
9689 variables :
9790 txx_all :
98- short_name : tasmin
99- exp : [historical, ssp245]
100- timerange : ' 19410901/20230630'
91+ short_name : tasmax
10192 mip : day
10293 project : CMIP6
103- preprocessor : preproc_tnn_map
94+ preprocessor : preproc_txx_map
10495 additional_datasets : *datasets_cmip
10596 obs :
106- short_name : tasmin
107- timerange : ' 19410901/20230630'
97+ short_name : tasmax
10898 mip : day
109- preprocessor : preproc_tnn_map
99+ preprocessor : preproc_txx_map
110100 additional_datasets : *dataset_era
111101 scripts :
112102 analytics :
113- script : eccc_extremes/extreme_temperature_map .py
103+ script : eccc_extremes/extreme_temperature_shape .py
114104 mpl_style : malinina24
105+ shapefile : /space/hall6/sitestore/eccc/crd/ccrn/users/emr001/rapid_aux_data/Stone_regions_WRAF05_v4_1_Canada.shp
115106 cbar_label : standard deviation
116107 cbar_units : C
117108 cbar_positive : True
118109 ratio : True
119- title_var_label : Standard deviation in TNn anomalies
110+ title_var_label : St. dev. in TXx(d) for 77 years
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