[Climbing] 2021 Climbing Goals




Update 10/17/2021

Really want to focus on sending these until next season begins 
  • Routes
    • Exit 32: Lay of the Land (link)
    • Index: Climax Control (link)
    • Exit 32: Aboriginie (link)
    • Vantage: King of the ruins
    • Vantage: Stemmin Ms
    • Vantage: Peeing with a boner 
  • Boulders
    • Feel the pinch (v4+)
    • Pretty woman (v5)
    • Schist cave right (v5) 
Want to get on / make progress on..

  • Routes
    • Exit 32: Bust the Rhythm (link)
    • Exit 32: Hang it out to dry (link)
    • Exit 32: Digitalis (link)
  • Boulders
    • Heuco Crimper 
    • Beckey route (v6)
Training wise: Focus on more slopers and pinches. 


Update 08/29/2021
Ticks:
Boulder: 1 V6, 1 V5, 4 V4, ~8V3
Sport: 2 11a flash, 2 11c, 2 12a, 1 12a/b
Trad: 1 10a/b, 1 5.9 (index)



Training:
- Did 12 week lattice training plan from mid June to mid September! 
- Plan on outdoor climbing 2-3 times a week, and training once a week, between mid September and early November (6-7 weeks)

Outdoor Grade Pyramid Goals 
  • Sport Climbing
    • Projecting
      • 1 12+
      • 2 12b
      • 3 12a
      • 4 11+
    • Onsite/flash
      • 1 11c
      • 2 11b
      • 3 11a
      • 4 10d
  • Bouldering
    • Projecting
      • 1 V7 (lofty..)
      • 2 V6
      • 3 V5
      • 4 V4
      • 5+ V3
    • Flashing
      • 4 V3
      • 8 V2
  • Trad
    • Projecting
      • 1 10+
      • 2 10b
      • 3 10a
      • 4 9
General schedule
3 weeks of "hard/redpointing climbing" twice a week outdoors. 1 week of "moderate climbing" (easier trad, easier flashes, technique focused, adventure climbing, etc)

Quarterly Foci
Jan - Feb: Training / Skiing 
March: Training / Warm up to outdoor climbing 
April - June: Hard climbing
July - mid Sep: Training, Alpine moderate trad routes, few boulder sessions at night 
mid Sep - Nov: Hardest climbing
Dec: Begin training; consider Lattice Training Plan

Training Goals 
    • Moonboard goals!
      • 5 v3 benchmarks 
      • 4 v4 benchmarks
      • 3 v5 benchmarks
      • ?
    • Slow progress on campusing
      • Want to get 1-4-5 on lung C by end of 2021
    • Slow progress on max hangs
      • Want to get 150% body weight
    Route Inspirations
    • Sport
      • 12+
        • Index: 5.12 Index Ave (link)
          • Ticks: 0
        • Index: Soul on Ice (link)
          • Ticks: 0
        • Exit 32: Technoriginie (link)
          • Ticks: 0
        • Exit 32: Bust the Rhythm (link)
          • Ticks: 0
        • Exit 32: Psychosomatic (link)
          • Ticks: 0
        • Exit 32: Californicator (link)
          • Ticks: 0
        • Exit 38: Blade Runner (link)
          • Ticks: 0
        • Elwha: Leave it to Cleaver (link)
          • Ticks: 0
        • Mt. Erie: Han's 5.10 (link)
          • Ticks: 0
      • 12b
        • Exit 32: Hang it out to dry (link)
          • Ticks: 2
        • Exit 32: Digitalis (link)
          • Ticks: 0
        • Exit 32: Viagro (link)
          • Ticks: 0
        • Elwha: All-View Motel (link)
          • Ticks: 0
        • Index: Roadside Floral Curtain (link)
          • Ticks: 0
        • Exit 38: The Goblet (link)
          • Ticks: 0
        • Upper Skagit Valley: 12c for a day (link)
          • Ticks: 0
        • Vantage: Peeing with a Boner (link)
          • Ticks: 0
      • 12a
        • Elwha: San Ber'dino (link)
          • Ticks: 0
        • Index: Slapshot (link)
          • Ticks: 0
        • Index: Raggedy Andy (link)
          • Ticks: 0
        • Exit 32: Bust the Move (link)
          • Ticks: 5
        • Exit 32: Lay of the Land (link)
          • Ticks: 2
        • Exit 32: Orgasmatron (link) 
          • Ticks: 0
        • Exit 38: Under Arrest
          • Ticks: 6
        • Exit 38: Cultureshock (link)
          • Ticks: 1
        • Exit 38: Rude Road (link)
          • Ticks: 1
        • Upper Skagit Valley: Shiny Yellow Crane (link)
          • Ticks: 0
        • Vantage: Stemmin' Ms (link)
          • Ticks: 0
      • 11+
        • Index: Climax Control (link)
          • Ticks: 1
        • Index: Wham (link)
          • Ticks: 0
        • Index: Albinestone (link)
          • Ticks: 0
        • Exit 32: Bad guy (link)
          • Ticks: 2
        • Exit 38: Hidden Dragon (link)
          • Ticks: 0
        • Exit 38: My Sorrow Bleeds With Such Delight (link)
          • Ticks: 0
        • Upper Skagit Valley: Serendipity (link)
          • Ticks: 0
        • Leavenworth: Das Musak (link)
          • Ticks: 0
        • Leavenworth: Rock n' Rattle (link)
          • Ticks: 0
        • Vantage: After Shock (link)
          • Ticks: 0
        • Vantage: The Crippler (link) 
          • Ticks: 1
      • 11-
        • Elwha: It Goes (link)
          • Ticks: 0
        • Index: Leave My Face Alone (link)
          • Ticks: 0
        • Index: Hairway to Stephen (link)
          • Ticks: 0
          • "Just have to jump if you're under 5'10"
        • Index: Spineless (link)
          • Ticks: 0
        • Exit 32: Psycho Wussy (link)
          • Ticks: 1
        • Exit 32: Aboriginie (link)
          • Ticks: 3 (over 2 years.. first 11 I ever tried!)
        • Exit 38: La Vida Locamotive (link)
          • Ticks: 0
        • Exit 38: Free Radical (link)
          • Ticks: 0
        • Exit 38: Primus (link)
          • Ticks: 0
        • Upper Skagit Valley: Luna Park (link)
          • Ticks: 0
        • Leavenworth: Tubbing at Der Ritterhoff (link)
          • Ticks: 0
        • Leavenworth: Toothless (link)
          • Ticks: 0
      • 10+
        • TBD
    • Boulder
      • V7
        • Index: Banking on the Pig (link)
          • Ticks: 0
        • Index: Flying Honey Badger (link)
          • Good for when river is low 
          • Ticks: 0
        • Gold bars: Red Rover (link)
          • Short approach (5 star boulder)
          • Short-ish climb (good for projecting alone)
          • Ticks: 0
      • V6
        • Index: Leggo my Ego (link)
          • Ticks: 0
        • Gold Bar: Five Star Arete (link)
          • Ticks: 0
        • Leavenworth: The Hueco Crimper (link)
          • Ticks: 0
      • V5
        • Gold Bar: Samurai (link)
          • Ticks: 0
        • Gold Bar: Road to Zion (link)
          • Ticks: 0
        • Leavenworth: Footless Traverse (link)
          • Ticks: 0
        • Leavenworth: Alfalfa or Spanky? (link)
          • Ticks: 0
        • Leavenworth: Sheniqua (link)
          • Ticks: 0
        • Mt. Erie: The Gates of Ekron (link)
          • Ticks: 0
      • V4
        • Leavenworth: The Fridge Center (link)
          • Ticks: 0
        • Leavenworth: The Real Thing (link)
          • Ticks: 1
        • Leavenworth: The Physical (link)
          • Ticks: 0
        • Leavenworth: Feel the Pinch (link)
          • Ticks: 0
        • Leavenworth: Crimp, Crimp, Slap, Throw (link)
          • Ticks: 0
      • V3
      • V2
    • Trad
      • 10+
      • 10b
      • 10a
      • 9
      • 8

    Comments

    Post a Comment

    Popular posts from this blog

    Benchmarks: Dask Distributed vs. Ray for Dask Workloads

    Image
      Dask Workloads  In this section, I detail the dask workloads that will be used to benchmark two cluster backends - Ray and Dask Distributed. In summary, my dask workload involves processing ~3.3 Petabytes of ~6.06 million input files with dask-based Processing Chain and producing ~14.88 Terabytes of ~1.86 million output files. Input Data ~6.06 million ~550MB files, totaling ~3.3 Petabytes  Each file represents a N-dimensional numerical tensor (np.ndarray).  Processing Chain: How we go from Input data to Output data (Dask Task Graphs) We use  Xarray  / Dask APIs for  lazy , numerical computations on out-of-core multidimensional tensors. Per 3 input files, we generate 1 output file using below  Dask Task Graph  (auto generated by using Dask APIs) The Task Graph is consisted of small, Dask-level 'tasks'; tasks can be grouped into 3 actions:   Load Download file from S3 and load each file into 2D  np.ndarray  of type np.float32 Convert  np.ndarray  into  dask.array  of chunksize
    Read more

    Parallel processing libraries in Python - Dask vs Ray

    At work, I'm working with enabling numerical computations/transformations of N-dimensional tensors that cannot fit in a single machine's memory. They are "big data" in the order of TBs-PBs. The data types are numerical arrays; e.g. np.array. Data processing / analysis code are written in Python. I looked at two libraries to enable parallel computing within the Python ecosystem. The two are Dask and Ray. I made some comparison between them.   Dask Dask is a flexible library for parallel computing in Python  https://docs.dask.org/en/latest/ Ray Ray is a fast and simple framework for building and running distributed applications. https://ray.readthedocs.io/en/latest/ (Originally published 02/25/2020, updated 03/03/2021 as per new features in the libraries) Dimension Dask Ray Color Code Justification Efficient Data Sharing Between Nodes  Source:  https://distributed.dask.org/en/latest/serialization.html Data sharing happens via TCP messages between workers. Every time dat
    Read more

    Building a Subaru Forester Camper!

    Image
    We built a camper in our Suburu forester! It was quite easier than I imagined. It just took a day of taking measurements, going over to Home Depot, picking out plywood, getting those cut by a nice Home Depot employee, then screwing in some wood screws with a drill. All done in a day! Now let's see if this setup gets us a bit better sleeping experience and good amount of storage to shove in our climbing gear... :)  Final product: Progress photos:
    Read more