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LDM
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Status Report: LDM

October 2020 - April 2021

Steve Emmerson, Tom Yoksas, Mike Schmidt, Mustapha Iles, Yuanlong Tan (University of Virginia)

Activities Since the Last Status Report

LDM

The LDM is the primary software package by which research and education institutions obtain near real-time meteorological and related data.

Progress has been made on the following:

Dependencies, challenges, problems, and risks include:

The LDM is sometimes held responsible for decisions made by the NWS when they don’t follow their own policy on how to categorize and name data products (not a new challenge).

More sites are installing intrusion detection/prevention systems (e.g., Palo Alto), which can adversely affect LDM throughput if not configured correctly.

Mathew Lazarra (University of Wisconsin–Madison) is spearheading an effort to formally integrate the LDM into the Antarctic meteorological data-distribution network.

Multicast LDM (aka LDM-7)

The multicast LDM project is separately funded by CISE in NSF. The goal is to reduce the outgoing bandwidth requirement of the LDM -- yet retain the current level of reliability -- by converting it into a hybrid system that combines use of the new, semi-reliable multicast protocol developed jointly with the University of Virginia with the time-tested unicast capability of the current LDM.

This project ended April 1st, 2019, but a no-cost extension was approved because funding was delayed.

Progress has been made on the following:

Dependencies, challenges, problems, and risks include:

Ongoing Activities

We plan to continue the following activities:

New Activities

Over the next twelve months, we plan to organize or take part in the following:

Relevant Metrics

Strategic Focus Areas

We support the following goals described in Unidata Strategic Plan:

  1. Managing Geoscience Data
    By enabling researchers, teachers, and students to process a wide variety of meteorological and related data in near real time.

  2. Providing Useful Tools
    By enabling researchers, teachers, and students to obtain a wide variety of meteorological and related data in near real time and at no cost via the Internet.

    By using the LDM to move data into the cloud and developing multicast technologies.

  3. Supporting People
    By answering support questions, writing documentation, and conducting workshops.

Prepared  April 2021