Data from Glacier Model Intercomparison Project Phase 3 (GlacierMIP3)

README for " D ata from G lacier M odel I ntercomparison P roject P hase 3 ( G lacier MIP 3 )" doi : 10 . 5281 / zenodo . 14045268 T hi s d o c u men t prov ide s d a t a d o c u men t a t i o n f or t he G l a cie r M o del I n t e r c o m p a r i so n P ro jec t 3 ( G l a cie r M I P 3), w hich f o c us e s o n gl o b a l gl a cie r m a ss ch a nge e qu ilib r a t i o n e xp e r imen ts . G l a cie r M I P i s a f r a me wor k f or a c oor din a t ed in t e r c o m p a r i so n o f gl o b a l - s c a le gl a cie r m a ss ch a nge m o del s to f ost e r m o del im prov emen ts a nd r ed u ce u nce rt a in t ie s in gl o b a l gl a cie r pro jec t i o n s . I t i s ru nning a s a ' Ta r ge t ed A c t i v i ty ' u nde r t he a usp ice s o f t he C lim a t e a nd C ryosp he r e P ro jec t C li C , a c or e pro jec t o f t he W or ld C lim a t e R e s e a r ch P ro g r a mme ( W C RP ). F or de t a iled inf or m a t i o n a b out t he G l a cie r M I P 3 e xp e r imen t a l de s ign , p le a s e r efe r to t he G l a cie r M I P 3 proto c o l . If you are only interested in the data from Supplementary Table 1 or 3, you can directly go to the corresponding CSV files ( table_S1a.csv , table_S1b.csv , table_S3.csv ). T he d a t a s e t incl u de s t he r egi o n a l gl a cie r vo l u me a nd a r e a pro jec t i o n s a s su bmi tt ed b y t he gl a cie r m o delling g roups , enc a psu l a t ed in t he m a in file GMIP3_reg_glacier_model_data/glacierMIP3_Feb12_2024_models_all_rgi_regions_sum.nc . A ddi t i o n a ll y , i t fe a tur e s post - pro ce ss ed a nd a gg r eg a t ed d a t a de r i v ed f ro m G l a cie r M I P 3, or in c o mbin a t i o n w i t h ot he r stu die s , w hich i s us ed f or t he a n a l ys e s a nd v i su a li s a t i o n s pr e s en t ed in t he m a n us c r i pt . Z ek o ll a r i *, H ., S ch ust e r *, L ., Ma uss i o n , F ., H o ck , R ., Ma rz ei o n , B ., R ou nce , D . R ., C o m p a gn o , L ., F u ji t a , K ., H uss , M ., Ja me s , M ., K r aa ijenb r ink , P . D . A ., L i ps c o mb , W . H ., M in a ll a h , S ., O be rr a u ch , M ., Va n T r ich t , L ., C h a m po lli o n , N ., E d w a r d s , T ., F a r in ott i , D ., I mme rz eel , W ., L eg uy , G ., Sa k a i , A . ( u nde r r e v ie w ). G l a cie r pr e s e rv a t i o n d ou bled b y limi t ing w a r ming to 1.5° C ( h ttps :// d o i . or g /10.31223/ X 51 T 5 W ), 2024. * T he s e a ut h ors c o n tr ib ut ed e qu a ll y W hen us ing t hi s d a t a s e t , p le a s e ci t e b ot h t he Z en o d o d a t a s e t ( d o i : 10.5281/ z en o d o .14045268) a nd t he su bmi tt ed stu d y a b ov e . N ot e t h a t w e a r e c urr en t l y wor king o n a n ot he r pot en t i a l stu d y to a n a l ys e t he gl a cie r m o del diffe r ence s m or e t h orou ghl y . T o a ss i st pot en t i a l d a t a us e rs , w e h a v e incl u ded a j upyt e r n ot eb oo k ( gmip3_data_example_use_cases.ipynb ) t h a t g u ide s you t h rou gh so me s im p le us e c a s e s . T hi s n ot eb oo k c a n be di r ec t l y ru n w hen clicking o n t hi s link . P le a s e n ot e t h a t you w ill need to l o g in to your G oo gle a cc ou n t a nd , if you h a v en ' t a l r e a d y d o ne so , in st a ll G oo gle C o l a b or a tory . T he d a t a w ill t hen be a uto m a t ic a ll y d ow nl o a ded to your a cc ou n t . W e m a y a d a pt t he d a t a stru c tur e a nd im prov e t he d o c u men t a t i o n d ur ing t he r e v ie w p h a s e . I f you h a v e a n y qu e st i o n s or su gge st i o n s , p le a s e c o n t a c t us . P le a s e n ot e t h a t t he d a t a de s c r ibed i s o nl y a v a il a ble t h rou gh t he pu bli s hed Z en o d o d a t a s e t . T he c o de us ed to gene r a t e t he postpro ce ss ed d a t a a nd to c o nd u c t t he a n a l ys e s f or t he m a n us c r i pt men t i o ned a b ov e i s a v a il a ble a t h ttps :// gi t h u b . c o m / G l a cie r M I P / G l a cie r M I P 3. W e h a v e a l so r e t a ined t hi s R EAD M E _ d a t a in t he G i t H u b r e pos i tory f or r efe r ence . B el ow , you w ill find t he d o c u men t a t i o n f or t he diffe r en t indi v id u a l d a t a s e ts . GMIP 3 _ reg _ glacier _ model _ data / H e r e , t he r egi o n a ll y a gg r eg a t ed gl a cie r m o del pro jec t i o n s ( vo l u me a nd a r e a ) a r e gi v en in diffe r en t postpro ce ss ing st e ps ( e xp l a ined in M e t h o d s a nd S upp lemen t a ry D a t a Ta ble 2 o f Z ek o ll a r i , S ch ust e r e t a l ., su bmi tt ed ). A ll file s w i t hin t he GMIP3_reg_glacier_model_data f o lde r a r e ne t CDF file s w i t h d a t a f or vo l u me in m ³ ( volume_m3 ) a nd a r e a in m ² ( area_m2 ) w hich h a v e t he f o ll ow ing dimen s i o n s : Variable Dimension Description model_author 8 (10) O ne o f t he eigh t m o del a ut h ors f ro m t he li st : [' P y GE M - O GG M _ v 13', ' G l o GE M fl ow ', ' G l o GE M fl ow 3 D ', ' O GG M _ v 16', ' G L I M B ', ' K r aa ijenb r ink ', ' G O ', ' CI SM 2']. I n t he n o n - fin a l postpro ce ss ed file s , w e incl u ded two O GG M v a r i a n ts w hich w e migh t o nl y us e f or a m or e t echnic a l m o del in t e r c o m p a r i so n stu d y ( m or e in gmip3_data_example_use_cases.ipynb ) simulation_year 5001 S im u l a t i o n y e a r f ro m 0 to 5000 ( e st im a t e s m a y be NaN s a f t e r 2000) gcm 5 I S I M I P 3 b clim a t e m o del : [' gfdl - e s m 4', ' i ps l - cm 6 a - l r ', ' m p i - e s m 1-2h r ', ' m r i - e s m 2-0', ' u ke s m 1-0ll '] ( c orr e spo nding w a r ming le v el a v a il a ble in clim a t e _ in put _ d a t a /). period_scenario 16 O ne o f t he 16 clim a t e s cen a r i os ( c o mbining t ime p e r i o d s a nd s cen a r i os ): ['1851-1870_ hi st ', '19011920_ hi st ', '1951-1970_ hi st ', '1995-2014_ hi st ', '20212040_ ssp 126', '2021-2040_ ssp 370', '20212040_ ssp 585', '2041-2060_ ssp 126', '20412060_ ssp 370', '2041-2060_ ssp 585', '20612080_ ssp 126', '2061-2080_ ssp 370', '20612080_ ssp 585', '2081-2100_ ssp 126', '20812100_ ssp 370', '2081-2100_ ssp 585'] rgi_reg 19 O ne o f t he 19 R GI 6 r egi o n s , f ro m '01' to '19'. The following different regional glacier model projections are available (ordered from the least to the most postprocessed): GMIP3_reg_glacier_model_data/glacierMIP3_Feb12_2024_models_all_rgi_regions_sum.nc u n pro ce ss ed d a t a s e t w i t h t he " r a w " r egi o n a l file s su bmi tt ed b y t he gl a cie r m o del g roups . N ot us ed di r ec t l y in a n y o f t he c o mm u ni ty e st im a t e m a n us c r i pt a n a l ys e s , b ut o f m ost in t e r e st f or m o del c o m p a r i so n a n a l ys e s I m port a n t a ddi t i o n a l inf or m a t i o n f or O GG M : G l a cie rs t h a t c ou ld n ot be s im u l a t ed (" f a iling gl a cie rs " m a inl y bec a us e ru nning out o f t he d o m a in ) w e r e r e p l a ced b y me a n e st im a t e s ( vo l u me / a r e a ) f ro m gl a cie rs w i t h a s imil a r a r e a (" filling a ppro a ch "). H ow e v e r , a s a filling b ut n o di r ec t ups c a ling w a s a pp lied , r egi o n a l ini t i a l vo l u me s migh t s ligh t l y diffe r f ro m t he r egi o n a l vo l u me e st im a t e s o f F a r in ott i e t a l . 2019. S u b st a n t i a l diffe r ence s a r e o nl y f or clim a t e s cen a r i os ne a r pr eind ustr i a l t em p e r a tur e s in sp ecific r egi o n s ( I cel a nd ( R GI 06), a nd p a rt i a ll y A l a s k a ( R GI 01) a nd N e w Z e a l a nd ( R GI 18)). I m port a n t a ddi t i o n a l inf or m a t i o n f or P y GE M - O GG M _ v 13: F a iling gl a cie rs w e r e filled b y s c a ling t hei r ini t i a l vo l u me or a r e a b y t he n or m a li z ed r egi o n a l me a n v a l u e s o f a ll su cce ss f u l gl a cie rs . I n v e rs i o n p e r f or med f or e v e ry clim a t e d a t a s e t , so ini t i a l vo l u me m a y v a ry b y s im u l a t i o n f or t he s a me gl a cie r a nd t h us a l so v a r ie s w i t hin o ne R GI r egi o n . in t he fi rst m a n us c r i pt , t hi s file w a s o nl y us ed to c r e a t e t he ne xt d a t a s e t . GMIP3_reg_glacier_model_data/glacierMIP3_Feb12_2024_models_all_rgi_regions_sum_sc aled.nc s a me a s t he pr e v i ous file b ut vo l u me s c a led to m a t ch r egi o n a l F a r in ott i e t a l . (2019) m u l t i - m o del gl a cie r vo l u me e st im a t e a t t he beginning , a r e a s c a led to m a t ch t he R GI 6.0 a r e a a t t he beginning . S c a ling i s d o ne indi v id u a ll y f or e a ch clim a t e s cen a r i o a nd m o del t ime s e r ie s ( e xp e r imen t ). F or m ost e xp e r imen ts , s c a ling w a s n ot nece ss a ry a s m o del s a imed to m a t ch r egi o n a l vo l u me / a r e a a nd ups c a led a l r e a d y in t e r n a ll y o nl y us ed to e st im a t e t he n u mbe r o f y e a rs u n t il st e a d y st a t e i s r e a ched ( in A_community_estimate_paper_analysis/2b_find_equilibrium_steady_state_yr.i pynb f or S upp lemen t a ry F ig . S 8) a nd us ed to c r e a t e t he ne xt d a t a s e t GMIP3_reg_glacier_model_data/glacierMIP3_Feb12_2024_models_all_rgi_regions_sum_sc aled_extended_repeat_last_101yrs.nc s a me a s t he pr e v i ous file b ut w he r e nece ss a ry , t he e xp e r imen ts a r e e xt ended f ro m t he y e a r 2000 to t he y e a r 5000 us ed in so me n ot eb oo k s f or t he st e a d y - st a t e e st im a t e s ( n ot e t h a t t he st e a d y - st a t e e st im a t e s a r e t he s a me a s in t he bel ow - s hif t ed d a t a s e t ) GMIP3_reg_glacier_model_data/all_shifted_glacierMIP3_Feb12_2024_models_all_rgi_re gions_sum_scaled_extended_repeat_last_101yrs_via_5yravg.nc s a me a s t he pr e v i ous file , b ut t he t ime s e r ie s w e r e s hif t ed so t h a t t he ini t i a l st a t e o f t he ne w t ime s e r ie s m a t ch be tt e r t he gl a cie r m a ss e st im a t e o f t he y e a r 2020 area_m2 r em ov ed he r e , a s n ot a n a l ys ed in t he fi rst G l a cie r M I P 3 stu d y a ddi t i o n a l c oor din a t e : year_after_2020 : ne w c oor din a t e w hich de s c r ibe s t he " s im u l a t i o n y e a r " f ro m t he 2020 st a t e o n w a r d s - u ni t : y e a r he r e simulation_year i s t he ini t i a l s im u l a t i o n y e a r a s gi v en b y t he u n s hif t ed v e rs i o n ( a nd dimen s i o n ch a nged to year_after_2020 , s ee bel ow ) a ddi t i o n a l v a r i a ble s : volume_rel_2020_% : s c a led , e xt ended a nd t hen s hif t ed gl a cie r vo l u me / m a ss r el a t i v e to 2020 - u ni t : % yrs_w_most_similar_state_to_2020 : y e a r w i t h a gl a cie r vo l u me / m a ss s imil a r to t he e st im a t ed st a t e in 2020 - u ni t : y e a r temp_ch_ipcc : G l o b a l w a r ming a b ov e pr e - ind ustr i a l (1850-1900) f or t h a t e xp e r imen t , us ing t he I P CC A R 6 defini t i o n ( i . e . a ssu me +0.69° C be tw een 1850 a nd 1986-2005 - u ni t : ° C us ed f or t he LOW E SS fi ts l a t e r , b ut a l so to e st im a t e t he r e spo n s e t ime s c a le s , a nd a l so di r ec t l y f or e . g . F ig . 1,2; S upp lemen t a ry F ig . S 5, S 7 climate _ input _ data / Wa r ming a b ov e pr e - ind ustr i a l f or t he diffe r en t e xp e r imen ts ( ei t he r o n a gl o b a l me a n a v e r a ge or r egi o n a l ). Column Name Description gcm I S I M I P 3 b clim a t e m o del period_scenario O ne o f t he 16 clim a t e s cen a r i os ( c o mbining t ime p e r i o d s a nd s cen a r i os , e . g . 2041-2060_ssp126 ) region A gg r eg a t ed r egi o n ov e r w hich t he w a r ming w a s e st im a t ed . G l o b a l me a n a v e r a ge ( global ), gl o b a l gl a cie r - a r e a w eigh t ed me a n ( global_glacier ), r egi o n a l gl a cie r - a r e a w eigh t ed me a n ( e . g . RGI11_glacier ) temp_ch_ipcc_ar6_isimip3b d o e s n ot h a v e t hi s c o l u mn a s a ll en tr ie s a r e global temp_ch_ipcc G l o b a l w a r ming a b ov e pr e - ind ustr i a l (1850-1900) us ing t he I P CC A R 6 defini t i o n ( i . e . a ssu me +0.69° C be tw een 1850 a nd 19862005 - u ni t : ° C The following different CSV files are available: climate_input_data/temp_ch_ipcc_ar6_isimip3b.csv : o nl y t he gl o b a l me a n a v e r a ge w a r ming us ed in m ost fig ur e s a nd a n a l ys i s climate_input_data/temp_ch_ipcc_ar6_isimip3b_glacier_regionally.csv : a ll r egi o n s A tt en t i o n : H e r e w e a ssu me r egi o n a ll y e qu a ll y +0.69° C o f w a r ming be tw een 1850 a nd 1986 to 2005. F or t he w a r ming r a t i o c o m put a t i o n , s h ow n in e . g . F ig . 2 or F ig . 4, w e su b tr a c t t he 0.69° C a g a in to in st e a d j ust s h ow t he r egi o n a l w a r ming r a t i o to t he a c tu a l r egi o n a l 1986 to 2005 e st im a t e s . us ed e . g . f or S upp lemen t a ry F ig . S 2, a nd to c r e a t e 3_shift_summary_region_characteristics.csv LOWESS fits T he r el a t i v e gl a cie r m a ss ch a nge s w e r e LOW E SS fi tt ed w i t h t he r e sp ec t i v e t em p e r a tur e ch a nge s o f t he 80 clim a t e s cen a r i os . T he LOW E SS fi t r e su l ts , he r e gi v en in st e ps o f 0.05° C , a r e gi v en in t he lowess_fit_rel_2020*.csv file s f or diffe r en t v a r i a n ts . A ll lowess_fit_rel_2020*.csv file s h a v e t he f o ll ow ing c o l u mn s : Variable Description temp_ch Wa r ming le v el a b ov e pr e - ind ustr i a l in ° C . 0.5 , 0.17 , 0.83 ( a nd ot he rs ) Q u a n t ile s o f fi tt ed r em a ining gl a cie r m a ss in % r el a t i v e to 2020 (21or 101y e a r ro lling a v e r a ge ) f or t he r e sp ec t i v e r egi o n a nd w a r ming le v el . region T he 19 R GI 6 r egi o n s ('01' to '19') or a ll r egi o n s to ge t he r (' A ll '), w hich c orr e spo nd s to t he gl o b a l e st im a t e s . year 100, 500, or 5000 - Y e a r o f a n a l ys i s . frac C h os en f r a c p a r a me t e r ( h yp e rp a r a me t e r o f h ow m a n y d a t a po in ts a r e a pp lied f or t he l o c a l r eg r e ss i o n , s ee MO E PY p a ck a ge d o c u men t a t i o n ). N ot e : f r a c i s o nl y v a lid f or t he medi a n v a l u e s in c a s e o f region=='All' . it N u mbe r o f i t e r a t i o n s f or t he l ow e ss fi t ( s ee MO E PY p a ck a ge ). N R e p e t i t i o n s ( s ee MO E PY p a ck a ge ). The following different LOWESS fitted data files are available: lowess_fit_rel_2020_101yr_avg_steady_state_Feb12_2024.csv fi t us e s r el a t i v e r em a ining m a ss a t st e a d y - st a t e (101y e a r ro lling a v e r a ge o f t he l a st s im u l a t i o n y e a rs , ei t he r a f t e r 5000 or 2000 y e a rs ) to ge t he r w i t h gl o b a l me a n w a r ming a b ov e pr eind ustr i a l y e a r i s he r e 5000 ( a l t h ou gh f or so me r egi o n s s im u l a t i o n s w e r e o nl y d o ne f or 2000 y e a rs ) us ed f or F ig . 1-4, S upp lemen t a ry Ta ble S 1, a nd s e v e r a l supp lemen t a ry fig ur e s lowess_fit_rel_2020_21yr_avg_after{YEAR}yr_Feb12_2024.csv w i t h Y EA R =100 or Y EA R =500 s imil a r to lowess_fit_rel_2020_101yr_avg_steady_state_Feb12_2024.csv , b ut f or t he e st im a t e s a f t e r 100 or 500 s im u l a t i o n y e a rs . Q u a n t ile s w e r e LOW E SS - fi tt ed w i t h 21y e a r cen t e r ed ro lling a v e r a ge gl a cie r m a ss e st im a t e s y e a r i s he r e 100 or 500 us ed f or F ig . 3, S upp lemen t a ry F ig . S 6 lowess_fit_rel_2020_101yr_avg_steady_state_Feb12_2024_only_global_models.csv s imil a r to lowess_fit_rel_2020_101yr_avg_steady_state_Feb12_2024.csv , b ut us ing f or t he LOW E SS fi t o nl y gl o b a ll y a v a il a ble gl a cie r m o del s y e a r i s he r e 5000 us ed f or e . g . S upp lemen t a ry F ig . S 13 lowess_fit_rel_2020_101yr_avg_steady_state_Feb12_2024_rel_regional_glacier_temp_c h.csv s imil a r to lowess_fit_rel_2020_101yr_avg_steady_state_Feb12_2024.csv , b ut us ing in st e a d r egi o n a l gl a cie r - a r e a w eigh t ed w a r ming Ma r ch 2025: F or t he r egi o n a l w a r ming l ow e ss fi ts , i t d o e s n ot m a ke s s en s e to a gg r eg a t e to gl o b a l u nce rt a in t ie s a s w e h a v e to a dd t hem up v i a t he c o m pos i t e s . T he r e a so n i s t he diffe r en t r egi o n a l w a r ming . T he r ef or e , gl o b a l u nce rt a in t ie s w e r e s e t to " NaN " v a l u e s . us ed f or e . g . S upp lemen t a ry F ig . S 4 lowess_fit_rel_2020_101yr_avg_steady_state_Feb12_2024_per_glac_model.csv s imil a r to lowess_fit_rel_2020_101yr_avg_steady_state_Feb12_2024.csv , b ut d o ing a LOW E SS fi t f or e v e ry gl a cie r m o del indi v id u a ll y . N ot e t h a t t he fi t d o e s n ot p e r f or m w ell f or so me gl a cie r m o del s bel ow 1.5° C , a nd s h ou ld t h us n ot be us ed in t h a t r a nge . us ed to e st im a t e t he spr e a d / u nce rt a in t ie s in t he c o mmi tt ed ice l oss s en s i t i v i ty ( o nl y in r a nge 1.5 to 3.0° C , e . g . s h ow n in S upp lemen t a ry D a t a Ta ble S 1, S upp lemen t a ry F ig . S 5) other files response timescale dataset CSV-file : resp_time_shifted_for_deltaT_rgi_reg_roll_volume_21yravg.csv w i t h t he f o ll ow ing c o l u mn s Column Name Description rgi_reg R GI r egi o n ( e . g . ' R GI 11') or gl o b a l (' A ll ') model_author M o del n a me ( e . g . ' G L I M B ') temp_ch_ipcc G l o b a l w a r ming a b ov e pr e - ind ustr i a l f or t h a t e xp e r imen t - u ni t : ° C gcm_period_scenario O ne o f t he 80 e xp e r imen ts , e . g . in t he f or m a t : ' i ps l - cm 6 a - l r _2081-2100_ ssp 370' min_perc_change M inim u m s h r ink a ge / g row ing limi t to e st im a t e a " r e spo n s e t ime s c a le ", he r e e v e ryw he r e 25 % to r ed u ce n o i s e f ro m in t e r a nn u a l v a r i a bili ty - u ni t : % resp_time_-50% R e spo n s e t ime s c a le f or -50 % o f t he tot a l ch a nge s to o cc ur ( he r e o nl y if ch a nge s a r e l oss e s ) - u ni t : y e a rs resp_time_-80% R e spo n s e t ime s c a le f or -80 % o f t he tot a l ch a nge s to o cc ur ( he r e o nl y if ch a nge s a r e l oss e s ) - u ni t : y e a rs resp_time_-90% R e spo n s e t ime s c a le f or -90 % o f t he tot a l ch a nge s to o cc ur ( he r e o nl y if ch a nge s a r e l oss e s ) - u ni t : y e a rs diff_resp_time_-50% D iffe r ence o f t h a t m o del ' s r e spo n s e t ime s c a le to t he medi a n gl a cie r m o del r e spo n s e t ime s c a le ) - u ni t : y e a rs diff_resp_time_-80% D iffe r ence o f t h a t m o del ' s r e spo n s e t ime s c a le to t he medi a n gl a cie r m o del r e spo n s e t ime s c a le ) - u ni t : y e a rs diff_resp_time_-90% D iffe r ence o f t h a t m o del ' s r e spo n s e t ime s c a le to t he medi a n gl a cie r m o del r e spo n s e t ime s c a le ) - u ni t : y e a rs T hi s d a t a s e t i s us ed , e . g . f or t he f o ll ow ing fig ur e s : S upp lemen t a ry F ig . S 11, S 12, S 15 aggregated regional characteristics summary csv-file : 3_shift_summary_region_characteristics.csv w i t h t he f o ll ow ing c o l u mn s Column Name Description rgi_reg , region R egi o n s e . g . ('11'), a ll r egi o n s to ge t he r de s c r ibed a s All in rgi_reg a nd a s global in region C lim a t e I ndice s ( d a t a f ro m I S I M I P 3 a ( G SWP 3W 5 E 5)): temp_ch_avg_2000-2019_vs_1901-1920 Δ T em p 2000-2019 - 1901-1920 ( r eg - a w ) - u ni t : ° C temp_avg_2000-2019 T em p 2000-2019 ( r eg - a w ) - u ni t : ° C prcp_avg_2000-2019 P r c p 2000-2019 ( r eg - a w ) - u ni t : kg m -2 s -1 continentality_index_avg_2000-2019 C o n t inen t a li ty inde x 2000-2019 ( t em p diffe r ence be tw een c o lde st / w a r me st m o n t h s a me y e a r , r eg - a w ) - u ni t : ° C median_reg_vs_glob_ch Ra t i o r eg vs gl o b a l Δ T em p to pr e - ind ustr i a l ( medi a n , r eg - a w ) - n o u ni t median_reg_vs_glob_temp_ch_1.5_3.0 Sa me a s median_reg_vs_glob_ch b ut o nl y w i t h e xp e r imen ts be tw een 1.5° C a nd 3.0° C - n o u ni t median_reg_vs_glob_ch_ref_1986-2005 Ra t i o r eg vs gl o b a l Δ T em p to 1986-2005 ( medi a n , r eg - a w ) - n o u ni t median_reg_vs_glob_temp_ch_1.5_3.0_ref_1986-2005 Sa me a s median_reg_vs_glob_ch_ref_19862005 b ut o nl y w i t h e xp e r imen ts be tw een 1.5° C a nd 3.0° C - n o u ni t slope_fit_reg_vs_glob_ch F i tt ed line a r fi t s l op e r egi o n a l vs gl o b a l t em p ch a nge ( a w ) - n o u ni t G l a cie r topo g r a p h y ( d a t a f ro m R GI 6): slope_weighted_area_avg G l a cie r sur f a ce s l op e ( r eg - a w ) - u ni t : ° lat_absolute_weighted_area_avg La t i tu de ( a b so l ut e , r eg - a w ) - u ni t : ° lat_weighted_area_avg La t i tu de ( r eg - a w ) - u ni t : ° marine_term_ratio_hundredlargest_glac Ra t i o m a r ine - t e r min a t ing (100 l a r ge st gl a cie rs ) - n o u ni t mean_vol_ten_largest_glac M e a n vo l u me (10 l a r ge st gl a cie rs b y a r e a ) - u ni t : km 3 elev_diff_area_weighted E le v a t i o n r a nge ( r eg - a w ) - u ni t : m ice_cap_ratio_hundredlargest_glac Ra t i o ice c a ps (100 l a r ge st gl a cie rs ) - n o u ni t max_elev_area_weighted Ma x im u m ele v a t i o n ( r eg - a w ) - u ni t : m min_elev_area_weighted M inim u m ele v a t i o n ( r eg - a w ) - u ni t : m O b s e rv ed gl a cie r ch a nge s a nd st a t e s in t he p a st ( d a t a f ro m H u g o nne t e t a l . 2021 & F a r in ott i e t a l . 2019): geodetic_obs_area_weighted O b s e rv ed ge o de t ic M B (20002019, r eg ) f ro m H u g o nne t e t a l .