On the use of NWP for Cloud Base Height Estimation in Cloud Camera-Based Solar Irradiance Nowcasting

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DLR.de Chart 1 On the use of NWP for Cloud Base Height Estimation in Cloud Camera-Based Solar Irradiance Nowcasting Niels Killius 1, Christoph Prahl 2, Natalie Hanrieder 2, Stefan Wilbert 2, Marion Schroedter-Homscheidt 1 1 DLR German Remote Sensing Data Center, Oberpfaffenhofen (Germany) 2 DLR Institute of Solar Research, Almeria (Spain)

Outline Reminder: Cameras and cloud height for nowcasting Ceilometer suitable? Needed? Cost reduction potential? Numerical Weather Prediction Examples from Plataforma Solar de Almeria (PSA), Spain Preliminary comparison results Outlook Work is ongoing discussion and feedback is appreciated

Reminder: Cameras and cloud height for nowcasting Cloud detection Cloud position z Cloud motion y x Nowcast

DLR.de Chart 4 Reminder: Cameras and cloud height for nowcasting Not all clouds detected by the camera are relevant Andasol parabolic trough plants

DLR.de Chart 5 Reminder: Cameras and cloud height for nowcasting Knowledge of cloud height is essential to locate the cloud shadow on the ground. Error in shadow location depends on error in cloud height and solar zenith angle x h sza

DLR.de Chart 6 Reminder: Cameras and cloud height for nowcasting Longest possible forecast horizon with one single cloud camera strongly depends on cloud height and wind speed Examples: 75 max zenith angle, 1km cloud height, 25m/s wind speed: ~5min 75 max zenith angle, 10km cloud height, 30m/s wind speed: ~41min

DLR.de Chart 7 State of the art is ceilometer. Cloud base height from Ceilometer Measurements are taken in a vertical column above the ceilometer. Time difference between sent and detected laser pulse derives the height information Laser signal cannot pass through thick clouds no information above these clouds can be obtained. In this talk: 1 full year of ceilometer data from Plataforma Solar de Almería (2013-11-05 until 2014-11-04) This talk: Jenoptik CHM 15k ceilometer, FOV 0.45mrad, pulse repetition rate ~5khz, 1cbh value every 15s, measurement accuracy 5m.

METAS Plataforma Solar de Almería (PSA)

Image: Google, CIEMAT, DLR pyranometers + 2 Rotating Shadowband Irradiometers (inside PSA & 2km south) + shaded pyranometers + semiautomatic trackers 100 m Cloud height from LIDARs Automatic solar trackers with pyrheliometer

DLR.de Chart 10 Cloud base height from NWP In this study: compare ceilometer cloud base height with NWP output (ECMWF IFS forecast) Cloud base height is a part of IFS standard output. also known as cloud condensation level. 3h temporal resolution, scaled down to 1h resolution. 11km spatial resolution, 137 vertical levels. for each day, 0 UTC run of the same day is used in this study

DLR.de Chart 11 How representative is a ceilometer cbh measurement for cloud base height in camera FOV?

DLR.de Chart 12 Ceilometer cbh: histograms as indicator of representativeness Use single value? Mean value? Median? Most frequent value? Mean value in this study, but this issue is still not fully discussed

DLR.de Chart 13 Within ceilometer 0.25/0.75 percentile interval Some example situations Within min/max interval Terra MODIS, 2014-08-15 11:00 UTC. Source: NASA

DLR.de Chart 14 Within ceilometer 0.25/0.75 percentile interval Some example situations Within min/max interval Terra MODIS, 2014-09-27 10:40 UTC. Source: NASA

DLR.de Chart 15 Within ceilometer 0.25/0.75 percentile interval Some example situations Within min/max interval Terra MODIS, 2014-05-18 11:05 UTC. Source: NASA

DLR.de Chart 16 Challenge: Broken clouds below a cirrus layer Within ceilometer 0.25/0.75 percentile interval Within min/max interval Modis/Terra, 2014-10-02 11UTC. Source: NASA

DLR.de Chart 17 All sky condition results Multilayer situation

DLR.de Chart 18 All sky condition results Absolute cbh difference is below 1.5km in 50% of all cases. Only 4% of ecmwf cbh within ceilometer 25% to 75% percentiles. 18% of ecmwf cbh within ceilometer min/max interval.

DLR.de Chart 19 > Lecture > Author Document > Date But stop we want to track scattered cloud fields in our application the rest is not of interest Only cases where the satelllite detects scattered cloud conditions

DLR.de Chart 20 > Lecture > Author Document > Date What does 1 km difference in cloud base height means? low cloud, 25 m/s speed 1 > 2 km means 5 to 10 min within field of view in camera High cloud, 30 m/s speed 10 > 9 km means 41 to 37 min within field of view Error in shadow position strongly dependent on sun position Do evaluation of cloud masking as next step

DLR.de Chart 21 > Lecture > Author Document > Date But stop we want to track scattered cloud fields in our application the rest is not of interest Only cases where the satelllite detects scattered cloud conditions Do they matter at all?

DLR.de Chart 22 Conclusions Cloud height is very variable in time and space using of ceilometer at nearest airport is a good idea only in few meteorological conditions (e.g. maritime strato-cumulus) Ceilometer at site still be aware about representativity Which cloud to track? Variability of height inside field of view is an issue NWP is available anyhow at power plant site Quantification vs. ceilometer in all sky conditions Quantification vs. ceilometer in solar energy interesting conditions Verification in nowcasting of camera cloud masks Check different stations Who has ceilometer data and likes it to be checked?