|
Time |
Tuesday, Nov 6 |
Wednesday, Nov 7 |
Thursday, Nov 8 |
|
8-12 |
Introduction
(0.5 h) COMET, Timofeyeva & Harrison Logistics, Short
Intro defining course scope and objectives, Prereqs,
Evaluations, etc. |
ENSO
(1.5 h) Kousky -definitions, - impacts - physics - predictability |
Ensemble Climate Predictions (1h) Johansson - identify feature of medium range climate variability - Define ensemble approach - explain why an ensemble approach is appropriate at all ranges |
|
What is Climate? (0.5h) Kann Introduce
difference between climate and weather, components of the climate systems |
Oceanic forcing (1h) Alexander explain the
relationships between tropical SST’s and the extratropical
atmosphere including Oceanic and Atmospheric bridge - Thermohaline Circulations and its climate impacts - Oceanic
dynamics of PDO, description, impact and physic, incl
predictability |
CPC Climate Prediction Tools (1.5h) Halpert - discuss the models and tools available at CPC -
scientific basis of CPC forecasts, including the three important drivers:
ENSO, trend, and soil moisture |
|
|
Climatology (1h) Kousky - Define seasonal
climate variability |
NAO / AO
(0.5h) Livezey NOA/AO description, impact, physics (incl predictability) |
Seasonal Predictions Lab (1h) Halpert - explain terminology used in CPC discussions (some of these
should be covered in Section 3) |
|
|
Climate Anomalies and Bird’s Eye View of Climate Variability (1.5 h) Livezey - Climate
Anomalies - Teleconnections - Main Climate
Variability phenomena |
Intraseasonal Climate Variability (0.5h) -explain the
relationships between (tropical) convection and the location and strength of
the jet stream - the adjustment
of the atmosphere to forcing - how different
locations of this forcing affect the resultant temperature and
precipitation patterns - MJO
description, impact, physics - familiarity with Global Synoptic-Dynamic Model |
||
|
12-13 |
Lunch |
Lunch |
Lunch |
|
13-17 |
Statistical Climatology (2.5h) lecture & exercise Livezey & Timofeyeva - review of the
statistics used in local climatology, local climate products, and CPC
discussions - introduce the
basic tools used in climate diagnosis and variability: time series, pdfs, scatter plots, linear regression, PCA |
Intraseasonal Climate Variability (1h) |
Hydrology and climate interactions (1h) Noel - Hydrologic
forcing and Climate Variability - Science of the
monthly and seasonal hydrologic predictions - Best Example
for Incorporating Climate Predictions into Hydrologic Operations |
|
Monsoons
(1h) Horsfall - natural climate
variability of monsoons - impact - predictability |
Drought
(1h) Kann - natural
variability of drought - predictability - impact |
Climate Change
(1.5h) Livezey - review observed climate change (CO2, T, sea ice,
etc.) - Forcing and
feedback mechanisms - Uncertainties
(especially in model scenarios) |
|
|
Monitoring Climate Variability Lab (1.5 h) Halpert - Utilize available CPC and CDC web
information to monitor state of climate variability of the following
phenomena: ENSO, MJO, NAO/AO, Soil Moisture, Drought, and trends |
Course Summary (1 h) Kann -Concluding
Remarks - Reinforcing
Course Important Messages - Guidance to Operational Utilization of Climate Variability Information |
||
|
17:00 |
Reception
at COMET (1.5 h) |
Free Time |
Free Time |