Merge branch 'main' into 679_ljw_drought

.zenodo.json

@@ -2,10 +2,10 @@
     "description": "<p>Self contained packages to run PCMDI Metrics</p>",
     "access_right": "open",
     "license": "cc-by",
-    "title": "PCMDI/pcmdi_metrics: PMP Version 2.3.1",
-    "version": "v2.3.1",
+    "title": "PCMDI/pcmdi_metrics: PMP Version 2.4.0",
+    "version": "v2.4.0",
     "upload_type": "software",
-    "publication_date": "2022-06-10",
+    "publication_date": "2022-08-02",
     "creators": [
         {
             "name": "Lee, Jiwoo",

README.md

@@ -18,15 +18,15 @@ PCMDI Conda Channel (halted):
 [![Anaconda-Server Badge](https://anaconda.org/pcmdi/pcmdi_metrics/badges/downloads.svg)](https://anaconda.org/pcmdi/pcmdi_metrics)
 
 
-The PCMDI Metrics Package (PMP) is used to provide "quick-look" objective comparisons of Earth System Models (ESMs) with one another and available observations.  Results are produced in the context of all model simulations contributed to CMIP6 and earlier CMIP phases.  Among other purposes, this enables modeling groups to evaluate changes during the development cycle in the context of the structural error distribution of the multi-model ensemble. Currently, the comparisons emphasize metrics of large- to global-scale annual cycle and both tropcial and extra-tropical modes of variability. Ongoing work in v1.x development branches include established statistics for ENSO, MJO, regional monsoons, and high frequency characteristics of simulated precipitation.
+The PCMDI Metrics Package (PMP) is used to provide "quick-look" objective comparisons of Earth System Models (ESMs) with one another and available observations.  Results are produced in the context of all model simulations contributed to CMIP6 and earlier CMIP phases.  Among other purposes, this enables modeling groups to evaluate changes during the development cycle in the context of the structural error distribution of the multi-model ensemble. Currently, the comparisons emphasize metrics of large- to global-scale annual cycle, tropical and extra-tropical modes of variability, ENSO, MJO, regional monsoons, and high frequency characteristics of simulated precipitation.
 
 **PCMDI uses the PMP to produce [quick-look simulation summaries across generations of CMIP](https://cmec.llnl.gov/results/physical.html)**
 
 The metrics package consists of four parts: 1) Analysis software, 2) an observationally-based database of global (or near global, land or ocean) [time series and climatologies](https://github.com/PCMDI/PCMDIobs-cmor-tables/tree/master/catalogue), 3) a database of performance metrics computed for CMIP models and 4) [package documentation and interactive demos](http://pcmdi.github.io/pcmdi_metrics/).
 
 The package expects model data to be [CF-compliant](http://cfconventions.org/). To successfully use the package some input data "conditioning" may be required. We provide several demo scripts within the package.
 
-Users of the current release (v1.2) will need to contact the PMP developers ([email protected]) to obtain supporting datasets and get started using the package.
+Users will need to contact the PMP developers ([email protected]) to obtain supporting datasets and get started using the package.
 
 
 GETTING STARTED
@@ -40,7 +40,8 @@ Some installation support for CMIP participating modeling groups is available: p
 
 [PMP versions](https://github.com/PCMDI/pcmdi_metrics/releases)
 ------------
-
+- [v2.4.0](https://github.com/PCMDI/pcmdi_metrics/releases/tag/v2.4.0) - New metric added: AMO in variability modes
+- [v2.3.2](https://github.com/PCMDI/pcmdi_metrics/releases/tag/v2.3.2) - CMEC interface updates
 - [v2.3.1](https://github.com/PCMDI/pcmdi_metrics/releases/tag/v2.3.1) - Technical update
 - [v2.3](https://github.com/PCMDI/pcmdi_metrics/releases/tag/v2.3) - New graphics using [archived PMP results](https://github.com/PCMDI/pcmdi_metrics_results_archive)
 - [v2.2.2](https://github.com/PCMDI/pcmdi_metrics/releases/tag/v2.2.2) - Technical update