http://journalofweathermodification.org/index.php/JWM/issue/feed The Journal of Weather Modification 2020-07-30T03:19:45+00:00 Dr. David Delene jwm@atmos.und.edu Open Journal Systems <p>The Journal of Weather Modfication publisheds articles related to weather modification research, operations, and instrumentation. Additionally, articles on cloud physics and aerosol-cloud interaction, which are revent to weather modification are published. Articles published in the 'Scientific Papers' section are peer-reviewed by experts which provide recommendation to the Journal Editor who decided if the article is acceptable for publication. The 'Technical Notes and Correspondence' section is for papers of general interest but are generally not scientific in nature; hence, the articles are not peer-reviewed and accepted based on the determination that the article is of interest to the weather modification community. The 'Messages' section contains information about the Journal, messages from the Weather Modification Association, and 'In Memory' notes about people in the weather modification community. </p> http://journalofweathermodification.org/index.php/JWM/article/view/722 The impact of John Hallet on the field of weather modification 2020-06-08T18:12:18+00:00 Andrew Detwiler andrew.detwiler@sdsmt.edu (none) 2020-07-30T00:00:00+00:00 Copyright (c) 2020 The Journal of Weather Modification http://journalofweathermodification.org/index.php/JWM/article/view/723 The Stalker method for increased predictability of fluids by moving beyond state variable measurements to enabling underlying physical processes 2020-06-22T20:15:32+00:00 James R Stalker jrstalker@respr.com <p align="LEFT">Physical processes are not usually measured nor are adequately simulated using the current numerical weather prediction (NWP) models due to the inadequate spatial and temporal resolution such models employ. The state variables, such as wind speed and temperature, are often measured only at relatively fewer number of locations compared to a larger number of measurement locations theoretically required for more accurate fluid depiction and predictability. Because of such fewer measurement locations, the available measurements of the state variables are usually inter(extra)polated to many of these unmeasured locations, without accounting for the underlying physical processes that shape the state variables to start with. These background physical processes may occur at any given fluid location, with collective influences emanating in all of the spatial scales around that location or in the context of the NWP models they occur in both grid-resolvable and subgrid scales. Since sparse information of the state variables is heavily relied upon for depicting the fluid behavior and predictability today, both grid-resolvable and subgrid physical processes are usually unaccounted for in the current fluid simulation efforts. Also, the subgrid physical processes and many other physical process parameterization schemes and methods (e.g., data assimilation) are usually defined in terms of the grid-resolvable state variables. The absence of a detailed treatment of the physical processes in the current NWP methods (or approaches) points to rather large data gaps many fluid sciences deal with and thus is the limitation within such sciences. A scientifically valid method, the Stalker method, to overcome that limitation by filling such data gaps is the crux of this note. <span>The importance of the noted physical process influences is even more critical for the weather modification efforts, as even deeper data gaps exist when resolutions finer than 1-km are required for fluid depiction and predictability.</span></p> 2020-07-30T00:00:00+00:00 Copyright (c) 2020 The Journal of Weather Modification