Full Model Emulation
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Add HiRO strengths and weaknesses

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@@ -48,7 +48,22 @@ Some known weaknesses of ACE2S are:
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  - model was not tested as rigorously as ACE2-ERA5 (e.g., cannot comment on stratospheric variability, etc)
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  - overestimation of tropical cyclone generation compared to X-SHiELD
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  - some aspects of the pre-training and fine-tuning methodologies did not have ablations
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- - exactly pre-training and fine-tuning methodologies are subject to potential significant changes for future versions
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ## License
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  - model was not tested as rigorously as ACE2-ERA5 (e.g., cannot comment on stratospheric variability, etc)
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  - overestimation of tropical cyclone generation compared to X-SHiELD
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  - some aspects of the pre-training and fine-tuning methodologies did not have ablations
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+ - exactly pre-training and fine-tuning methodologies are subject to potential significant changes for future versions
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+
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+ #### HiRO
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+ The strengths of HiRO are:
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+ - Quickly generates surface precipitation rates almost anywhere on the globe analogous to X-SHiELD 3 km output
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+ - Reproduces surface precipitation rate distribution of X-SHiELD out to the 99.99th percentile
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+ - Low time-mean biases against X-SHiELD
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+ - Recovers time-mean characteristics of precipitation related to topography
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+ - Stochastic for easy ensemble generation of small-scale variability
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+
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+ Some known weaknesses of HiRO are:
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+ - Not expected to generalize to climates outside of the 10-year training dataset
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+ - Only produces precipitation features representative of X-SHiELD data, not observations
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+ - May not produce physically consistent precipitation features; different precipitation regimes (convective, stratiform, orographic) have not been rigorously analyzed separately
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+ - Does not tend to produce the strongest isolated convection over tropical ocean regions of X-SHiELD (e.g., representative of 99.9999th percentile of X-SHiELD outputs)
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+ - Not trained or tested outside of 66S -- 70N, and cannot run outside of 88S or 88N
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  ## License
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