From 19414a77e1a573f043eacf1fb070d0c9b2f9579b Mon Sep 17 00:00:00 2001 From: John Halley Gotway Date: Thu, 16 Mar 2023 10:54:02 -0600 Subject: [PATCH] Bugfix #2087 main_v5.0 docs_pdf (#2092) --- docs/Users_Guide/statistics_list.rst | 2 +- .../GenEnsProd_fcstHRRR_fcstOnly_SurrogateSevere.py | 10 ++++++---- 2 files changed, 7 insertions(+), 5 deletions(-) diff --git a/docs/Users_Guide/statistics_list.rst b/docs/Users_Guide/statistics_list.rst index 320c570334..537c3063fc 100644 --- a/docs/Users_Guide/statistics_list.rst +++ b/docs/Users_Guide/statistics_list.rst @@ -2295,7 +2295,7 @@ ____________________ Use Case - n/a * - Spatial distance between :raw-html:`
` - (𝑥,𝑦)(x,y) coordinates of :raw-html:`
` + :math:`(x,y)` coordinates of :raw-html:`
` object spacetime centroid - SPACE :raw-html:`
` _CENTROID :raw-html:`
` diff --git a/docs/use_cases/model_applications/short_range/GenEnsProd_fcstHRRR_fcstOnly_SurrogateSevere.py b/docs/use_cases/model_applications/short_range/GenEnsProd_fcstHRRR_fcstOnly_SurrogateSevere.py index c638b039d8..e7e0407072 100644 --- a/docs/use_cases/model_applications/short_range/GenEnsProd_fcstHRRR_fcstOnly_SurrogateSevere.py +++ b/docs/use_cases/model_applications/short_range/GenEnsProd_fcstHRRR_fcstOnly_SurrogateSevere.py @@ -13,12 +13,14 @@ # -------------------- # # Run PCPCombine, GenEnsProd, and RegridDataPlane tools to create surrogate severe probability -# forecasts (SSPFs) for a given date. SSPFs are a severe weather forecasting tool and is a techniqu -# used by the Storm Prediction Center (SPC) as well as others. SSPFs are based on updraft helicity -# (UH; UH = ∫z0 to zt (ω * ζ) dz) since certain thresholds of UH have been shown as good proxies for# severe weather. SSPFs can be thought of as the perfect model forecast. They are derived as follows: +# forecasts (SSPFs) for a given date. SSPFs are a severe weather forecasting tool and is a technique +# used by the Storm Prediction Center (SPC) as well as others. SSPFs are based on updraft helicity +# (UH; :math:`\text{UH} = \int_{z_0}^{z_t} ( \omega * \zeta ) dz`) since certain thresholds of UH +# have been shown as good proxies for severe weather. SSPFs can be thought of as the perfect model +# forecast. They are derived as follows: # # 1. Regrid the maximum UH value over the 2-5km layer at each grid point to the NCEP 211 grid (dx = ~80km). -# 2. Create a binary mask of points that meet a given threshold of UH) +# 2. Create a binary mask of points that meet a given threshold of UH. # 3. Convert the binary mask into a probability field by applying a Gaussian filter. # # For more information, please reference Sobash et al. 2011 (https://journals.ametsoc.org/doi/full/10.1175/WAF-D-10-05046.1).