Deriving a climate temperature record from satellite data

Abstract

Temperatures at the Earth’s surface are important for the study of global warming. Typically, global temperature change is assessed by in situ surface air temperature (SAT) measurements at 2m height at weather stations. The diurnal temperature range (DTR) is also an important index of climate change.1–5 Until recently, most information on DTR also came from SATs, based on station observations. Strong diurnal and seasonal cycles are identified in SAT.6, 7 However, weather stations are usually located in relatively densely populated regions where anthropogenic impacts may affect measurements, and thus the temperature record may not be representative of global change. Moreover, station observations are sparse and unevenly distributed, and they suffer from differences in elevation and time of observation.8 The use of satellite-derived data could contribute to a globally consistent measurement.9 Most surface temperature retrievals from satellites are based on polar orbiters.10–15 Surface temperature, especially land surface temperature (LST), has a strong diurnal cycle, which cannot be captured at the temporal resolution (approximately two views per day) of such satellites. Only two points in the cycle are measured, and the sampling is neither continuous nor homogeneous because the exact timing of these two points will drift. The drift in local equatorial crossing time of the US National Oceanic and Atmospheric Association (NOAA) series of polar-orbiting satellites,16 for example, leads to a non-climatic trend in surface temperature, which degrades the usefulness of LSTmeasurements from those satellites. Geostationary satellites, on the other hand, provide good diurnal coverage, making them attractive for deriving information on the diurnal LST cycle.17–19 One of our current projects is to derive long-term climate surface temperature records from the NOAA Geostationary Operational Environmental Satellite (GOES) series. In addition to problems with maintaining consistent calibration over time, changes in GOES imager channels are also a big concern. Figure 1. The GOES-8 (red) and GOES-12 (green) bands.