Identify and interpret fields and derived products

Description

Pieter Groenemeijer reports of the tests ESSL has undertaken to check the usability of ISAI L2 temperature and humidity profiles in storm forecasting.

Length: 44 minutes.

Content

ESSL studied the use of retrieved temperature and humidity profiles available from the Infrared Atmospheric Sounding Interferometer (IASI) instrument on the polar-orbiting Metop satellites for storm forecasting during the 2019 Testbed and for a number of cases. Parameters relevant to convective storm prediction such as CAPE, CIN and humidity at various levels were computed and a direct visual comparison between the satellite-derived and NWP-modelled profiles was made possible. We present the main conclusions of this study, addressing the usability of the products, preferred derived parameters and observed limitations.

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Description

Thomas August provides an overview of the performances of the operational hyperspectral sounding products.

Length: 34 minutes.

Content

In this presentation, we provide an overview of the performances of the operational hyperspectral sounding products. They have been evaluated against independent reference measurements in dedicated validation studies and are continuously assessed in the routine monitoring. We introduce also the quality indicators (uncertainty estimates) provided along with the atmospheric profiles to support quality control and data acceptance on user side, accordingly to their applications.

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Description

Jana Campa compares IASI L2 and AMDAR profiles and provides an estimation on usability of CAPE derived from IASI L2 profiles.

Length: 33 minutes.

Content

The knowledge of the vertical structure of the atmosphere is extremely important for a reliable weather forecast, especially in the case of severe convection. The arrival of the new infrared sounder with the MTG will open many new possibilities in assessing the atmospheric instability. However, satellite retrievals lack accuracy towards the lower levels, which are crucial fort the calculation of several stability indices.

In the first part of the talk, a comparison of stability indices calculated from IASI L2 and AMDAR aircraft profiles will be presented. The probability of detection can be relatively high with adapted thresholds, but unfortunately also false alarm ratios are relatively high. In the second part, the uncertainty of CAPE resulting from errors in the retrieved profiles will be estimated.

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Description

Zsofia Kocsis presents an investigation of blended IASI and Synop measurements in a convective environment.

Length: 44 minutes.

Content

Using IASI L2 profiles, different instability indices (e.g. Lifted Index, CAPE) and water vapour content in different layers can be determined, which provides information on the convective environment. These indices were studied in several convective cases which led us to try to merge the IASI profiles and Synop measurements. In this presentation we present the reasons why we choose to combine these different measurements and we also present some of our experiences with the blended IASI product.

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Description

Christian Herold presents case studies in order to give an answer if IASI profiles help predicting sting jets.

Length: 37 minutes.

Content

Strong winds southwest of the centre of a Shapiro-Keyser-Cyclone are often associated with a cold conveyor jet or a sting jet. The sting jet is a strong mesoscale flow with a very high damage potential. It is a huge challenge for NWP and forecasters to predict correctly a sting jet. The question is: Can IASI profiles help us for a better prediction of such mesoscale severe wind events connected with sting jets? Therefore, some case studies will be presented.

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Description

Presentation 8 in the Warnings Event Week 2017

Length: 31 min

Author: Daniel Murer (MeteoSwiss)

Content

Severe weather warnings at MeteoSwiss started more than thirty years ago, firstly with warnings for heavy precipitation. After the storm 'Lothar' in 2001 warnings for wind, rain and snow have been introduced and then the system was updated in 2009 with new software, NinJo. After this short introduction, Daniel Murer from MeteoSwiss will present us a case that will illustrate the process of issuing warnings and decision making in the Swiss Met Service.

 

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Description

Presentation 3 in the Marine Forecasting Course 2017

Length: 112 min

Author: Rasmus Tonboe (DMI)

Content

Sea ice has always posed a threat to ships sailing through the northern Atlantic and also the ice was a clear indication of climate changes since the start of satellite observations in the 1970s. Satellites from their beginning have helped very much in tracking the condition and movements of ice sheets over North Pole and Antarctica. Sea ice condition, its melting and freezing over again in winter are important to track to see how they are affecting the weather and climate in these parts. Many satellite products and models were developed to distinguish thin one year ice from the thicker multiyear ice and to determine the actual thickness of these sheets. Further questions like how does ice affect radiation, how does snow affect the ice and what is the quality of the models that are used, will be answered during this lecture.

 

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Description

Presentation 2 in the Marine Forecasting Course 2017

Length: 117 min

Author: Ad Stoffelen

Content

The lecture deals with modelled winds and winds derived from instruments onboard satellites like Metop-A and Metop-B in low orbits around the Earth (polar orbits). Today's models are evolving at a rate that is faster than the increase of density of observations and that presents a problem for forecasts. Here stands the question 'Will meteorology continue to develop and improve?'. The lack of observed data is thus filled with the data from satellites, although this data also has its own constraints due to the way it is derived. In the lecture the characteristics of the satellites carrying instruments for measuring winds and waves will be explained and the logic behind the calculations of winds using satellites will be discussed.
Scatterometer data are used for many different purposes in marine meteorology, e.g. warnings, enhancement of situational awareness for winds, monitoring of storm evolution, low pressure systems, etc., therefore marine forecasters using the products about wind and waves from satellites will be instructed how to use them and when to combine the data with model outputs.

 

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Description

Presentation 1 in the Marine Forecasting Course 2017

Length: 59 min

Author: Jean Bidlot (ECMWF)

Content

Starting from the basics, this lecture introduces the students to wave model products (e.g. wave height and mean propagation direction), wave spectrum analysis, long swell forecasts, extreme forecast index etc. Since these outputs (alongside data from the buoys) are the basic material marine forecasters have for forecasting and nowcasting waves in seas and especially in oceans, explaining the positive and negative sides of model outputs is very important for understanding and thus correctly using the products marine forecasters use.

 

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Description

Length: 180 min

Authors: Pilar Ripodas (AEMet), Oscar Alonso (GMV), Cristina Ariza (GMV)

Content

The NWC SAF has released a new SW package GEO v2016 in November 2016.
An online workshop was organized on 11 January 2017 between 9:00 and 14:00 UTC in order to introduce to the users the NWCSAF GEO v2016 from a technical point of view. The NWC SAF team explains how to install this new version, the organization of directories, auxiliary datasets, new output format...

 

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Description

Leo Pio D'Adderio presents two precipitation products based on passive microwave radiometry.

Length: 28 minutes

Content

Passive microwave (PMW) radiometry is recognized as the most suitable for global precipitation monitoring and quantification. The H SAF precipitation products portfolio is being extended to provide Level 3 (gridded) PMW-based precipitation products to facilitate and promote the use of MW-based products for several applications. One of these products (labelled as P-IN-PWM, or H68) provides instantaneous precipitation rate estimates, based on calibrated and merged PMW Level 2 instantaneous precipitation rate products. H68 provides precipitation rate estimates every half hour, on a regular grid at 0.25°x0.25° resolution over the extended H SAF area (LAT 60°S – 75°N, LON 60°W – 60°E). The calibration is based on the precipitation estimates provided by the NASA Global Precipitation Measurement (GPM) DPR-GMI (Dual-frequency Radar and GPM Microwave Imager) combined product (2B-CMB). The H68 algorithm mainly consists of three modules (i.e. remapping module, adjustment module and merging module) that will be described. The other Level 3 PMW-based product that will be presented is P-DM-PMW (or H67), which provides as main output a 24 h mean precipitation rate based on the H68 product outputs. H67 provides data at the same spatial resolution as H68 at 00, 06, 12 and 18 UTC of each day for the previous 24 hours. Examples of H68 and H67 product outputs and applications will be provided.

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Description

Silvia Puca gives an overview on H-SAF activities and products.

Length: 28 minutes

Content

H SAF products and applications fit with the objectives of services, agencies, authorities and other initiatives which need information on water at the ground in order to monitor hazards and natural disasters such as flash floods, landslides and drought conditions, as well as to improve water management. From 2005 H SAF started to provide remote sensing estimates of relevant hydrological parameters: instantaneous rain rate and cumulated rainfall, soil moisture at surface and in the root zone, snow cover and water equivalent. All products are available via EUMETSAT data delivery service (EUMETCast), or via ftp download; they are also published in H SAF website h-saf.eumetsat.int. The project involves experts from 12 national meteorological and hydrological European Institutes of Austria, Belgium, Bulgaria, Finland, France, Germany, Hungary, Italy, Poland, Romania, Slovakia and Turkey, and from ECMWF.

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