Abstract
Global climate models project a mean drying of the North American Monsoon (NAM) at grid spacings where convection is not explicitly resolved. We investigate the response of the NAM to climate warming at convection-permitting scales, utilizing output from a series of 13-year continental scale regional climate model runs performed at 4-km grid spacing. These include a control run forced by reanalysis and a pseudo global warming run that applies a mean perturbation to the boundaries derived from end-of-century changes projected by an ensemble of global climate models. NAM precipitation (June–September) shows averaged increases of 38.6% for portions of Arizona and western New Mexico. Over central Mexico, daily mean precipitation shows increases of 8.13%. Increases in rainfall amount are primarily associated with mean increases in precipitation intensity that overcome reductions in precipitation frequency. This increase in precipitation intensity is attributed to higher precipitable water concentrations, enhanced near-surface horizontal moisture fluxes off the Gulf of California, and stronger moisture flux convergence along the mountain peaks. Results from an offline semi-Lagrangian tracer model reveal that moisture contributions from the local land surface are significant in the control climate and produce proportionally less of the total precipitation in the warmed climate. Instead, contributions from nearby oceanic sources, notably the Gulf of California and Gulf of Mexico, increase.
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The continental-scale convection-permitting regional climate model output analysed within this study can be accessed via NCAR RDA at: https://doi.org/10.5065/D6V40SXP.
References
Adams DK, Comrie AC (1997) The North American Monsoon. Bull Am Meteor Soc 78(10):2197–2213. https://doi.org/10.1175/1520-0477(1997)0782197
Adams DK, Souza EP (2009) CAPE and convective events in the southwest during the North American monsoon. Mon Weather Rev 137(1):83–98. https://doi.org/10.1175/2008MWR2502.1
Alejandro Martinez J, Dominguez F (2014) Sources of atmospheric moisture for the La Plata River Basin. J Clim 27(17):6737–6753. https://doi.org/10.1175/JCLI-D-14-00022.1
Arnault J, Wagner S, Rummler T, Fersch B, Bliefernicht J, Andresen S, Kunstmann H (2016) Role of runoff–infiltration partitioning and resolved overland flow on land–atmosphere feedbacks: A case study with the WRF-hydro coupled modeling system for west africa. J Hydrometeorol 17(5):1489–1516. https://doi.org/10.1175/jhm-d-15-0089.1
Benedict I, Van Heerwaarden CC, Van Der Ent RJ, Weerts AH, Hazeleger W (2020) Decline in terrestrial moisture sources of the mississippi river basin in a future climate. J Hydrometeorol 21(2):299–316. https://doi.org/10.1175/JHM-D-19-0094.1
Bieda SW, Castro CL, Mullen SL, Comrie AC, Pytlak E (2009) The relationship of transient upper-level troughs to variability of the North American monsoon system. J Clim 22(15):4213–4227. https://doi.org/10.1175/2009JCLI2487.1
Bohn TJ, Vivoni ER (2016) Process-based characterization of evapotranspiration sources over the North American monsoon region. Water Resour Res 52(1):358–384. https://doi.org/10.1002/2015WR017934
Bordoni S, Stevens B (2006) Principal component analysis of the summertime winds over the Gulf of California: A gulf surge index. Mon Weather Rev 134(11):3395–3414. https://doi.org/10.1175/MWR3253.1
Brubaker KL, Entekhabi D, Eagleson PS (1993) Estimation of Continental Precipitation Recycling. J Clim 6(6):1077–1089. https://doi.org/10.1175/1520-0442(1993)006
Bukovsky MS, Carrillo CM, Gochis DJ, Hammerling DM, McCrary RR, Mearns LO (2015) Toward assessing NARCCAP regional climate model credibility for the North American monsoon: Future climate simulations. J Clim 28(17):6707–6728. https://doi.org/10.1175/JCLI-D-14-00695.1
Burde GI, Zangvil A (2001) The estimation of regional precipitation recycling Part II: a new recycling model. J Clim 14(12):2509–2527
Carbone RE, Tuttle JD (2008) Rainfall occurence in the U.S warm season: the diurnal cycle. J Clim 21(16):4132–4146. https://doi.org/10.1175/2008JCLI2275.1
Castro CL, Chang HI, Dominguez F, Carrillo C, Schemm JK, Juang HMH (2012) Can a regional climate model improve the ability to forecast the North American monsoon? J Clim 25(23):8212–8237. https://doi.org/10.1175/JCLI-D-11-00441.1
Chen J, Dai A, Zhang Y (2020) Linkage between projected precipitation and atmospheric thermodynamic changes. J Clim 33(16):7155–7178. https://doi.org/10.1175/jcli-d-19-0785.1
Chen J, Dai A, Zhang Y, Rasmussen KL (2020) Changes in convective available potential energy and convective inhibition under global warming. J Clim 33(6):2025–2050. https://doi.org/10.1175/JCLI-D-19-0461.1
Cook BI, Seager R (2013) The response of the North American Monsoon to increased greenhouse gas forcing. J Geophys Res Atmos 118(4):1690–1699. https://doi.org/10.1002/jgrd.50111
Dai A, Giorgi F, Trenberth KE (1999) Observed and model-simulated diurnal cycles of precipitation over the contiguous United States. J Geophys Res Atmos 104(D6):6377–6402. https://doi.org/10.1029/98JD02720
Dai A, Rasmussen RM, Liu C, Ikeda K, Prein AF (2017) A new mechanism for warm-season precipitation response to global warming based on convection-permitting simulations. Clim Dyn. https://doi.org/10.1007/s00382-017-3787-6
Daly C, Neilson RP, Phillips DL (1994) A statistical-topographic model for mapping climatological precipitation over mountainous terrain. J Appl Meteorol 33(2):140–158
Daly C, Halbleib M, Smith JI, Gibson WP, Doggett MK, Taylor GH, Curtis J, Pasteris PP (2008) Physiographically sensitive mapping of climatological temperature and precipitation across the conterminous United States. Int J Climatol 28(15):2031–2064. https://doi.org/10.1002/joc.1688
Damiani R, Zehnder J, Geerts B, Demko J, Haimov S, Petti J, Poulos GS, Razdan A, Hu J, Leuthold M, French J (2008) The cumulus, photogrammetric, in situ, and doppler observations experiment of 2006. Bull Am Meteor Soc 89(1):57–74. https://doi.org/10.1175/BAMS-89-1-57
Davis RE, Walker DR (1992) An upper-air synoptic climatology of the Western United States. J Clim 5(12):1449–1467. https://doi.org/10.1175/1520-0442(1992)005<1449:AUASCO>2.0.CO;2
Demko JC, Geerts B (2010) A numerical study of the evolving convective boundary layer and orographic circulation around the Santa Catalina Mountains in Arizona Part II: interaction with deep convection. Mon Weather Rev 138(9):3603–3622. https://doi.org/10.1175/2010MWR3318.1
Deser C, Knutti R, Solomon S, Phillips AS (2012) Communication of the role of natural variability in future north american climate. Nat Clim Chang 2(11):775–779. https://doi.org/10.1038/nclimate1562
Di Luca A, de Elía R, Laprise R (2012) Potential for added value in precipitation simulated by high-resolution nested Regional Climate Models and observations. Clim Dyn 38(5–6):1229–1247. https://doi.org/10.1007/s00382-011-1068-3
Dominguez F, Kumar P, Liang XZ, Ting M (2006) Impact of atmospheric moisture storage on precipitation recycling. J Clim 19(8):1513–1530. https://doi.org/10.1175/JCLI3691.1
Dominguez F, Miguez-Macho G, Hu H (2016) WRF with water vapor tracers: a study of moisture sources for the North American Monsoon. J Hydrometeorol 17(7):1915–1927. https://doi.org/10.1175/JHM-D-15-0221.1
Dominguez F, Hu H, Martinez JA (2020) Two-layer dynamic recycling model (2L-DRM): Learning from moisture tracking models of different complexity. J Hydrometeorol 21(1):3–16. https://doi.org/10.1175/JHM-D-19-0101.1
Dougherty E, Rasmussen KL (2021) Variations in flash flood-producing storm characteristics associated with changes in vertical velocity in a future climate in the Mississippi River Basin. J Hydrometeorol 22(3):671–687. https://doi.org/10.1175/jhm-d-20-0254.1
Erlingis JM, Gourley JJ, Basara JB (2019) Diagnosing moisture sources for flash floods in the United States Part I: kinematic trajectories. J Hydrometeorol 20(8):1495–1509. https://doi.org/10.1175/JHM-D-18-0119.1
Erlingis JM, Gourley JJ, Basara JB (2019) Diagnosing moisture sources for flash floods in the United States. part II: Terrestrial and oceanic sources of moisture. J Hydrometeorol 20(8):1511–1531. https://doi.org/10.1175/JHM-D-18-0120.1
Finch ZO, Johnson RH (2010) Observational analysis of an upper-level inverted trough during the 2004 north american monsoon experiment. Mon Weather Rev 138(9):3540–3555. https://doi.org/10.1175/2010MWR3369.1
Fulton RA, Breidenbach JP, Seo DJ, Miller DA, O’Bannon T (1998) The WSR-88d rainfall algorithm. Weather Forecast 13(2):377–395
Gao Y, Leung LR, Zhao C, Hagos S (2017) Sensitivity of US summer precipitation to model resolution and convective parameterizations across gray zone resolutions. J Geophys Res 122(5):2714–2733. https://doi.org/10.1002/2016JD025896
Geil KL, Serra YL, Zeng X (2013) Assessment of CMIP5 model simulations of the North American monsoon system. J Clim 26(22):8787–8801. https://doi.org/10.1175/JCLI-D-13-00044.1
Giorgi F, Torma C, Coppola E, Ban N, Schär C, Somot S (2016) Enhanced summer convective rainfall at Alpine high elevations in response to climate warming. Nat Geosci 9(8):584–589. https://doi.org/10.1038/ngeo2761
He C, Li T, Zhou W (2020) Drier north american monsoon in contrast to asian–african monsoon under global warming. J Clim 33(22):9801–9816. https://doi.org/10.1175/jcli-d-20-0189.1
Hernandez M, Chen L (2022) Future land precipitation changes over the north american monsoon region using CMIP5 and CMIP6 simulations. J Geophys Res Atmos. https://doi.org/10.1029/2021jd035911
Higgins RW, Yao Y, Wang XL (1997) Influence of the North American Monsoon system on the US summer precipitation regime. J Clim 10(10):2600–2622
Higgins RW, Chen Y, Douglas AV (1999) Interannual variability of the North American warm season precipitation regime. J Clim 12(2–3):653–680
Hong SY, Noh Y, Dudhia J (2006) A new vertical diffusion package with an explicit treatment of entrainment processes. Mon Weather Rev 134(9):2318–2341. https://doi.org/10.1175/MWR3199.1
Hu H, Dominguez F (2015) Evaluation of oceanic and terrestrial sources of moisture for the North American monsoon using numerical models and precipitation stable isotopes. J Hydrometeorol 16(1):19–35. https://doi.org/10.1175/JHM-D-14-0073.1
Iacono MJ, Delamere JS, Mlawer EJ, Shephard MW, Clough SA, Collins WD (2008) Radiative forcing by long-lived greenhouse gases: calculations with the AER radiative transfer models. J Geophys Res Atmos 113(13):2–9. https://doi.org/10.1029/2008JD009944
Jana S, Rajagopalan B, Alexander MA, Ray AJ (2018) Understanding the dominant sources and tracks of moisture for summer rainfall in the Southwest United States. J Geophys Res Atmos 123(10):4850–4870. https://doi.org/10.1029/2017JD027652
Kimura F, Kuwagata T (1995) Horizontal heat fluxes over complex terrain computed using a simple mixed-layer model and a numerical model. J Appl Meteorol Climatol. https://doi.org/10.1175/1520-0450(1995)034
Ladwig B (2017) wrf-python. https://doi.org/10.5065/D6W094P1, https://github.com/NCAR/wrf-python
Lahmers TM, Castro CL, Adams DK, Serra YL, Brost JJ, Luong T (2016) Long-term changes in the climatology of transient inverted troughs over the North American monsoon region and their effects on precipitation. J Clim 29(17):6037–6064. https://doi.org/10.1175/JCLI-D-15-0726.1
Lahmers TM, Castro CL, Hazenberg P (2020) Effects of lateral flow on the convective environment in a coupled hydrometeorological modeling system in a semiarid environment. J Hydrometeorol 21(4):615–642. https://doi.org/10.1175/jhm-d-19-0100.1
Lin Y (2011) Gcip/eop surface: Precipitation ncep/emc 4km gridded data (grib) stage iv data. version 1.0. https://doi.org/10.5065/D6PG1QDD, https://data.eol.ucar.edu/dataset/21.093
Liu C, Ikeda K, Rasmussen R, Barlage M, Newman AJ, Prein AF, Chen F, Chen L, Clark M, Dai A, Dudhia J, Eidhammer T, Gochis D, Gutmann E, Kurkute S, Li Y, Thompson G, Yates D (2017) Continental-scale convection-permitting modeling of the current and future climate of North America. Clim Dyn 49(1–2):71–95. https://doi.org/10.1007/s00382-016-3327-9
Lundquist J, Hughes M, Gutmann E, Kapnick S (2019) Our skill in modeling mountain rain and snow is bypassing the skill of our observational networks. Bull Am Meteor Soc 100(12):2473–2490. https://doi.org/10.1175/BAMS-D-19-0001.1
Luong TM, Castro CL, Chang HI, Lahmers T, Adams DK, Ochoa-Moya CA (2017) The more extreme nature of North American Monsoon precipitation in the Southwestern United States as revealed by a historical climatology of simulated severe weather events. J Appl Meteorol Climatol 56(9):2509–2529. https://doi.org/10.1175/JAMC-D-16-0358.1
Maloney ED, Camargo SJ, Chang E, Colle B, Fu R, Geil KL, Hu Q, Jiang X, Johnson N, Karnauskas KB, Kinter J, Kirtman B, Kumar S, Langenbrunner B, Lombardo K, Long LN, Mariotti A, Meyerson JE, Mo KC, Neelin JD, Pan Z, Seager R, Serra Y, Seth A, Sheffield J, Stroeve J, Thibeault J, Xie SP, Wang C, Wyman B, Zhao M (2014) North American climate in CMIP5 experiments: Part III: assessment of twenty-first-century projections. J Clim 27(6):2230–2270. https://doi.org/10.1175/JCLI-D-13-00273.1
Maxwell RM, Lundquist JK, Mirocha JD, Smith SG, Woodward CS, Tompson AFB (2011) Development of a coupled groundwater–atmosphere model. Mon Weather Rev 139(1):96–116. https://doi.org/10.1175/2010mwr3392.1
McCollum DM, Maddox RA, Howard KW (1995) Case study of a severe mesoscale convective system in central Arizona. Weather Forecast 10(3):643–65
Mejia JF, Douglas MW, Lamb PJ (2016) Observational investigation of relationships between moisture surges and mesoscale-to large-scale convection during the North American Monsoon. Int J Climatol 36(6):2555–2569. https://doi.org/10.1002/joc.4512
Meyer JDD, Jin J (2017) The response of future projections of the North American monsoon when combining dynamical downscaling and bias correction of CCSM4 output. Clim Dyn 49(1–2):433–447. https://doi.org/10.1007/s00382-016-3352-8
Mo KC, Schemm JK, Juang HM, Higgins RW, Song Y (2005) Impact of model resolution on the prediction of summer precipitation over the United States and Mexico. J Clim 18(18):3910–3927. https://doi.org/10.1175/JCLI3513.1
Murakami H, Wang Y, Yoshimura H, Mizuta R, Sugi M, Shindo E, Adachi Y, Yukimoto S, Hosaka M, Kusunoki S, Ose T, Kitoh A (2012) Future changes in tropical cyclone activity projected by the new high-resolution MRI-AGCM. J Clim 25(9):3237–3260. https://doi.org/10.1175/jcli-d-11-00415.1
Niu GY, Yang ZL, Mitchell KE, Chen F, Ek MB, Barlage M, Kumar A, Manning K, Niyogi D, Rosero E, Tewari M, Xia Y (2011) The community Noah land surface model with multiparameterization options (Noah-MP): 1 model description and evaluation with local-scale measurements. J Geophys Res Atmos 116(12):1–19. https://doi.org/10.1029/2010JD015139
Ordoñez P, Nieto R, Gimeno L, Ribera P, Gallego D, Abraham Ochoa-Moya C, Ignacio Quintanar A (2019) Climatological moisture sources for the Western North American Monsoon through a Lagrangian approach: Their influence on precipitation intensity. Earth Syst Dyn 10(1):59–72. https://doi.org/10.5194/esd-10-59-2019
Pal S, Chang HI, Castro CL, Dominguez F (2019) Credibility of convection-permitting modeling to improve seasonal precipitation forecasting in the southwestern United States. Front Earth Sci 7(March):1–15. https://doi.org/10.3389/feart.2019.00011
Pascale S, Bordoni S (2016) Tropical and extratropical controls of Gulf of California surges and summertime precipitation over the Southwestern United States. Mon Weather Rev 144(7):2695–2718. https://doi.org/10.1175/MWR-D-15-0429.1
Pascale S, Boos WR, Bordoni S, Delworth TL, Kapnick SB, Murakami H, Vecchi GA, Zhang W (2017) Weakening of the North American monsoon with global warming. Nat Clim Chang 7(11):806–812. https://doi.org/10.1038/nclimate3412
Pascale S, Kapnick SB, Bordoni S, Delworth TL (2018) The influence of CO2 forcing on North American monsoon moisture surges. J Clim 31(19):7949–7968. https://doi.org/10.1175/JCLI-D-18-0007.1
Pendergrass AG, Hartmann DL (2014) Changes in the distribution of rain frequency and intensity in response to global warming*. J Clim 27(22):8372–8383. https://doi.org/10.1175/JCLI-D-14-00183.1
Pfahl S, O’Gorman PA, Fischer EM (2017) Understanding the regional pattern of projected future changes in extreme precipitation. Nat Clim Chang 7(6):423–427. https://doi.org/10.1038/nclimate3287
Prein AF, Langhans W, Fosser G, Ferrone A, Ban N, Goergen K, Keller M, Tölle M, Gutjahr O, Feser F, Brisson E, Kollet S, Schmidli J, Van Lipzig NP, Leung R (2015) A review on regional convection-permitting climate modeling: demonstrations, prospects, and challenges. Rev Geophys 53(2):323–361. https://doi.org/10.1002/2014RG000475
Rasmussen R, Liu C, Ikeda K, Gochis D, Yates D, Chen F, Tewari M, Barlage M, Dudhia J, Yu W, Miller K, Arsenault K, Grubišić V, Thompson G, Gutmann E (2011) High-resolution coupled climate runoff simulations of seasonal snowfall over Colorado: a process study of current and warmer climate. J Clim 24(12):3015–3048. https://doi.org/10.1175/2010JCLI3985.1
Rasmussen KL, Prein AF, Rasmussen RM, Ikeda K, Liu C (2017) Changes in the convective population and thermodynamic environments in convection-permitting regional climate simulations over the United States. Clim Dyn. https://doi.org/10.1007/s00382-017-4000-7
Riahi K, Rao S, Krey V, Cho C, Chirkov V, Fischer G, Kindermann G, Nakicenovic N, Rafaj P (2011) RCP 8.5-A scenario of comparatively high greenhouse gas emissions. Clim Change 109(1):33–57. https://doi.org/10.1007/s10584-011-0149-y
Sato T, Kimura F (2005) Diurnal cycle of convective instability around the Central Mountains in Japan during the Warm Season. J Atmos S 62:1626–1636. https://doi.org/10.1175/JAS3423.1
Schär C, Frei C, Lüthi D, Davies HC (1996) Surrogate climate-change scenarios for regional climate models. Geophys Res Lett 23(6):669–672. https://doi.org/10.1029/96GL00265
Schiffer NJ, Nesbitt SW (2012) Flow, moisture, and thermodynamic variability associated with Gulf of California surges within the North American monsoon. J Clim 25(12):4220–4241. https://doi.org/10.1175/JCLI-D-11-00266.1
Serra YL, Geil K (2017) Historical and projected eastern pacific and intra-americas sea TD-wave activity in a selection of IPCC AR5 models. J Clim 30(7):2269–2294. https://doi.org/10.1175/jcli-d-16-0453.1
Seth A, Rauscher SA, Biasutti M, Giannini A, Camargo SJ, Rojas M (2013) CMIP5 projected changes in the annual cycle of precipitation in monsoon regions. J Clim 26(19):7328–7351. https://doi.org/10.1175/jcli-d-12-00726.1
Skamarock C, Klemp B, Dudhia J, Gill O, Barker DE, Duda GK, Huang XY, Wang W, Powers GN (2008) A Description of the Advanced Research WRF Version 3
Small EE (2001) The influence of soil moisture anomalies on variability of the North American monsoon system. Geophys Res Lett 28(1):139–142. https://doi.org/10.1029/2000GL011652
Thompson G, Rasmussen RM, Manning K (2004) Explicit forecasts of winter precipitation using an improved bulk microphysics scheme part I: description and sensitivity analysis. Mon Weather Rev 132(2):519–542
Torres-Alavez A, Cavazos T, Turrent C (2014) Land-sea thermal contrast and intensity of the North American monsoon under climate change conditions. J Clim 27(12):4566–4580. https://doi.org/10.1175/JCLI-D-13-00557.1
Tripathi OP, Dominguez F (2013) Effects of spatial resolution in the simulation of daily and subdaily precipitation in the southwestern US. J Geophys Res Atmos 118(14):7591–7605. https://doi.org/10.1002/jgrd.50590
Varuolo-Clarke AM, Reed KA, Medeiros B (2019) Characterizing the North American monsoon in the community atmosphere model: sensitivity to resolution and topography. J Clim 32(23):8355–8372. https://doi.org/10.1175/JCLI-D-18-0567.1
Vivoni ER, Tai K, Gochis DJ (2009) Effects of initial soil moisture on rainfall generation and subsequent hydrologic response during the North American monsoon. J Hydrometeorol 10(3):644–664. https://doi.org/10.1175/2008JHM1069.1
Wallace JM (1975) Diurnal variations in precipitation and thunderstorm frequency over the conterminous United States. Mon Weather Rev 103(5):406–419
Wallace B, Minder JR (2021) The impact of snow loss and soil moisture on convective precipitation over the Rocky Mountains under climate warming. Clim Dyn 56(9–10):2915–2939. https://doi.org/10.1007/s00382-020-05622-7
Wang B, Biasutti M, Byrne MP, Castro C, Chang CP, Cook K, Fu R, Grimm AM, Ha KJ, Hendon H, Kitoh A, Krishnan R, Lee JY, Li J, Liu J, Moise A, Pascale S, Roxy MK, Seth A, Sui CH, Turner A, Yang S, Yun KS, Zhang L, Zhou T (2021) Monsoons climate change assessment. Bull Am Meteor Soc 102(1):E1–E19. https://doi.org/10.1175/bams-d-19-0335.1
Xu J, Shuttleworth WJ, Gao X, Sorooshian S, Small EE (2004) Soil moisture-precipitation feedback on the North American monsoon system in the MM5-OSU model. Q J R Meteorol Soc 130(603):2873–2890. https://doi.org/10.1256/qj.03.192
Zhu C, Leung LR, Gochis D, Qian Y, Lettenmaier DP (2009) Evaluating the influence of antecedent soil moisture on variability of the North American monsoon precipitation in the coupled MM5/VIC modeling system. J Adv Model Earth Syst. https://doi.org/10.3894/james.2009.1.13
Acknowledgements
This research was supported by National Science Foundation Award AGS-1349990. We would like to thank two anonymous reviewers for their constructive remarks. We thank Dr. Salvatore Pascale for providing assistance in implementing the gulf surge classification criteria. We would also like to thank Dr. Francina Dominguez and Dr. Huancui Hu for providing clarification in setting up the DRM model. We also thank Dr. Aiguo Dai, Dr. Brian Rose, and Dr. Rob Fovell for helpful comments on the methodology and manuscript. High-performance computing support was provided by NCAR’s Computational and Information Systems Laboratory.
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This research was supported by National Science Foundation Award AGS-1349990.
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Appendix A comparison against CMIP5
Appendix A comparison against CMIP5
A direct comparison of the downscaled WRF CONUS precipitation response for the NAM region against the CMIP5 ensemble members used to derive the PGW perturbation is carried out here. We compare the PGW-CTR difference in total seasonal accumulated precipitation (June-September) averaged across the 2002–2013 period to the difference in total seasonal accumulated precipitation amongst 16 of the CMIP5 ensemble members (Table 1) used to construct the original CONUS PGW perturbation as outlined in Liu et al. (2017). Precipitation fields from the remaining 3 ensemble members not used here were unavailable at the time of analysis. We calculate the CMIP5 difference in accumulated seasonal precipitation by first regridding the accumulated precipitation field to a common 0.25\(^{\circ }\) grid centered over the core NAM region and then taking the mean of the difference between the 1976–2005 and 2071–2100 periods. These periods are kept consistent to what was used to construct the end-of-century perturbation used to create the PGW initialized fields and lateral boundary conditions. The regridding of each individual CMIP5 ensemble member to a common grid is done using bilinear interpolation. We also regrid the CONUS WRF data from a 4 km native curvilinear grid to the same 0.25\(^{\circ }\) grid using a first order conservative interpolation method.
The difference in accumulated seasonal precipitation for each individual CMIP5 member is shown in Fig. 16. Across most members, there is a persistent drying signature within close proximity to the SMO and its western foothills.
Comparison of the PGW-CTR difference in accumulated seasonal precipitation for CONUS (on both the native and 0.25\(^{\circ }\) degree grid) and the end-of-century-historical difference across all of the selected CMIP5 members is shown in Fig. 17. When regridded onto a 0.25\(^{\circ }\) grid, the magnitude of the CONUS precipitation change diminishes for most locations, particularly west of the SMO and along the Mogollon Rim in central Arizona (Fig. 17b). However, the overall sign of the response is well preserved, with simulated increases in seasonal precipitation still present across much of the domain. The CMIP5 mean ensemble difference contrasts with results from the downscaled CONUS simulations and shows a broad reduction in rainfall for much of the NAM domain with the strongest drying occurring along the western foothills of the SMO (Fig. 17c). The magnitude of this drying is small relative to the increase in precipitation found in the CONUS simulations, and suggests overall little change in accumulated NAM seasonal precipitation, similar to conclusions from earlier studies highlighting insignificant changes in total rainfall within CMIP5 owing to a redistribution of rainfall later in the season (Cook and Seager 2013; Seth et al. 2013; He et al. 2020; Wang et al. 2021; Hernandez and Chen 2022). Additionally, it is unclear whether the contrast in the sign of the response between the downscaled CONUS simulations and the CMIP5 ensemble used to generate the PGW perturbation can be attributed to a tendency for better resolved local features to act against the large-scale drying signature (similar to earlier work from Meyer and Jin (2017)), or whether the limitations of the PGW experiment in being unable to simulate large-scale circulation and storm track changes are responsible. More work directly comparing downscaled RCMs to GCMs is needed to explore this further.
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Wallace, B., Minder, J.R. The North American Monsoon precipitation response to climate warming at convection-permitting scales. Clim Dyn 62, 497–524 (2024). https://doi.org/10.1007/s00382-023-06920-6
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DOI: https://doi.org/10.1007/s00382-023-06920-6