There might be dependency on the amount of water on the sensros surface: the higher the value the more water.
But dynamics of this water amount is complex (wind at fogwater content of the air, dripping and evaporation from the sensor...).
| variable | plot | remark |
|---|---|---|
| U |
| |
| dir |
| |
| T_air |
| |
| RH |
| |
| q |
| |
| dq |
| |
| T_surf |
| |
| SWdn |
| |
| dP |
| Difference of pressure to 24h gliding average. |
| Lwet |
| Normalized signal of the leaf wetness sensor. Lwet < 0 → sensor is dry, L_wet > 1 → sensor is wet. There might be dependency on the amount of water on the sensros surface: the higher the value the more water. But dynamics of this water amount is complex (wind at fogwater content of the air, dripping and evaporation from the sensor...). |
| H_bow |
| Sensible heatflux from Bowen ratio method. Very sensitive to small errors in temperature and relative humidity. |
| L_bow |
| Latent heatflux from Bowen ratio method. Very sensitive to small errors in relative humidity and temperature. |
| uq_flx |
| Zonal flux (W-E) of water vapor from <u'q'> the daily average of the product of the deviations of zonal wind speed (u') and specific humidity (q') from the 24h mean. |
| vq_flx |
| S-N flux of water vapor from <v'q'> the daily average of the product of the deviations of meridional wind speed (v') and specific humidity (q') from the 24h mean. |
| wind_rose |
| 2D Frequency distribution of wind direction and speed of all data. |
| wind_rose_fog |
| 2D Frequency distribution of wind direction and speed of data during fog episiodes (leaf wetness sensor wet and RH > 90%). |
| uq_rose |
| 2D Frequency distribution of moisture flux vectors (=(<u'q'>,<v'q'>)). |
This work is part of DFG funded SFB1211 Earth evolution at the dry limit
Data from the meteo stations is avaiallable via the projects data base .
Data has DOI 10.5880/CRC1211DB.1,
and is published under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 Intern. (CC BY-NC-SA 4.0).