The presentation will detail the proposed N8 (Night) mission – Global Environmental Effects of Artificial Nighttime Lighting. It was originally proposed as Earth Explorer 11 to ESA (European Space Agency).
At any moment, one half of the Earth’s surface is experiencing daytime and one half nighttime. Most Earth surface observation missions focus on the first half. The remote sensing N8 mission would focus on the half that is experiencing nighttime and on the quantification of the global environmental effects of artificial nighttime.
The natural light regime of a substantial, and growing, proportion of Earth’s surface is being eroded as a consequence of the direct illumination and sky brightening that result from the introduction of artificial light sources at night. These sources are associated with human settlements and activities, including public, private business and residential areas, and associated land, water, and air transport infrastructure. By enabling activities that are largely or entirely independent of natural light, artificial lighting of the nighttime has brought enormous benefits to humankind, and has shaped societies in dramatic ways. However, it is predicted to have significant impacts on human health and well-being and the natural environment, given that natural biological systems are organized foremost by light, and particularly by daily and seasonal cycles of light and dark, and that there have been no natural analogues, at any timescale, to the extent, nature, distribution, or timing of spread of artificial lighting.
A large body of observational and experimental studies - most of it arising in just the last few years - has illustrated that these adverse effects on human health and the natural environment occur, and has begun to characterize their sensitivity to the form of the lighting. However, to date, it has not been possible to map and evaluate the associated biological risks and opportunities in the way that has been achieved for other anthropogenic pressures on the environment, that enables the impacts of artificial light to be incorporated into local, national, and international strategies and policies for addressing these pressures. This is because the globally consistent characterization of the spectral-spatial-temporal dynamics of artificial nighttime lighting has been inadequate, and has had to rely entirely on remote sensing systems that were not explicitly designed to measure lighting in the most appropriate ways.
The N8 mission would resolve this challenge. Its core objective is to enable the creation and update of a validated model of spectral-spatial-temporal variation in nighttime artificial lighting and thence of the human health and environmental effects that it causes. This requires characterization of how much artificial outdoor light or radiation is emitted (intensity), in what form (spectral wavelength λ, source light type), where (spatial directions d,α, light distribution), and when (time t, light use). The acquisition of this information requires global, frequent, high-resolution, multi-spectral, multi-angular optical remote sensing nighttime low-light (NTL) data at multiple local times providing a unique view of the activities of humans on Earth’s surface.
The dynamics of outdoor nighttime artificial lighting and the global dynamic maps of its influences on a wide range of parameters will be used to answer key research questions on human health and environmental effects. Different forms, occurrences, and timings of light emissions result in different influences. Key parameters will be deliverables of relevance to scientific researchers in diverse disciplines. For human health (e.g. sleep quality, obesity, breast and prostate cancer risk) the α-optic radiances in the five human photoreceptor bands and the photopic and scotopic bands are of importance. The melatonin suppression index and circadian stimulus index are measures for one of the key drivers of biological rhythms in a wide array of organisms, whose disruption can have major health and disease implications, and its production is highly responsive to light spectrum, intensity, and timing. For animals (e.g. physiology, behavior, life histories from reproduction to mortality, abundance, and distribution, ecosystem function) the radiances in photometric bands of ecological interest by taxonomic group of focal interest (e.g. moths, sea turtles, birds, bats) are of importance to the resultant influences of artificial nighttime lighting. This is also true for plants, with light receptors being key to determining the timing of many activities (e.g. germination, growth, flowering), with the additional potential to affect levels of photosynthesis (as measured by the induced photosynthesis index). In order to enable appropriate changes in policies to reduce impacts of artificial nighttime lighting on the global environment, it is important also to determine the nature of the sources from which it has been produced. This includes the lighting technology, shielding and temporal usage. Estimations are feasible of associated levels of energy consumption and carbon dioxide emissions, enabling fuller evaluation of costs and benefits of patterns of usage of artificial nighttime lighting and of interactions with other environmental changes (e.g. atmospheric pollution). Most Earth observing missions monitor the effects of climate change. Here, the causes are addressed and this will support strategies to combat climate change. Scientific methods with which to analyze remote sensing data for the different applications mentioned are now feasible and extendable by applying artificial intelligence and data fusion techniques beside multivariate statistics. Extending beyond the immediate focus, data on artificial nighttime lighting and its short- and long-term variation have been found to be valuable in understanding patterns of human density, urbanization, economy size and the occurrence of disasters and conflicts.
Despite their inadequacies (e.g. in spectral sensitivity, geometry of acquisition, daily timing) for determining the impacts on human health and well-being and the natural environment, the data on artificial nighttime lighting that have previously been collected from satellite platforms provide valuable historical information on how this lighting has varied spatially and changed through time. The data especially from the Day-Night Band (DNB) of the VIIRS instruments (operated since 2011), will be cross-calibrated with that from this mission enhancing its value.
The N8 mission would acquire all populated land surfaces at night to achieve the objectives. These areas will be observed at least once every 90 days, at least for 12 almost equally distributed local times (to consider short-term changes in nights in the same season), and for at least 3 years (to consider long-term changes between nights of different seasons). This will be achieved in the repeat orbit of 214 orbits in 15 days with a drift of 480 sec/day (12 hours/90 days sufficient by considering ascending and descending orbits) by one satellite with a swath of 284 km (Field-of-View of 20.5°). Acquisitions will be performed in 144+2/3 orbits close to nadir viewing (to consider vertical light emissions) and in twice 35+2/3 orbits close below limb viewing (to consider horizontal light emission) from two directions close to orthogonal to each other (limiting occlusion in both close below limb views, e.g. consider straight streets with high buildings). In the visible and near infrared (VIS/NIR) one panchromatic band at ≤ 10 m (to detect single street lamps having a common distance of ≥ 25 m) and seven multi-spectral broad and narrow bands (specific to nighttime artificial light sources, to consider the lighting characteristics) at ≤ 20 m will be achieved at nadir view and in the longwave infrared (LWIR) two spectral bands at ≤ 100 m (to consider temperatures and atmosphere). The three multi-angular acquisitions of an area is one of the major differences to all proposed NTL so far, besides the acquisitions at multiple local times. Because of low-light conditions, e.g. for PAN a radiometric range 5×10-8 (detection limit) to 8×10-4 (saturation) Wm-2sr-1nm-1 is required, time delayed integration (TDI) detectors will be applied resulting with state-of-the-art optics in a Signal-to-Noise Ratio ≥ 10 at reference radiance 5×10-7 Wm-2sr-1nm-1. This requires a highly stable platform with precise yaw steering. Finally, view and access to the products at various processing levels will be provided through the official Copernicus digital platform services to fulfil user demands for modelling and mapping. To obtain required Bottom-of-Atmosphere observations based on Top-of-Atmosphere measurements this implies an accurate consideration of the nocturnal atmosphere which is a supported research topic on its own. The sustained and quality-controlled observations of the proposed N8 mission would revolutionize understanding of artificial nighttime lighting and its human and environmental impacts.
The review of the proposal by ESA highlights the important novel aspects. They represent long-standing observational gaps and address some urgent scientific and societal questions of the Living Planet Challenges. Adaptions of the originally proposed N8 mission will focus on more specific research questions allowing to pare down the N8 mission.
SKADI[1] is a mission proposal submitted to the Earth Explorer 11 call that aims to address and quantify dynamic processes in cold environments by measuring the static and dynamic topography. This information is essential for understanding, modelling and forecasting the dynamics and interactions within the different elements of the cryosphere and with other Earth system components. SKADI will provide very accurate high-resolution, multi-temporal topographic data that will make it possible to derive mass balances and structural changes in the cryosphere, with a focus on permafrost areas as well as glaciers and ice caps, ice sheets and sea ice. At the same time, SKADI will enable unprecedented measurements of volume change processes in the geosphere, including volcanic, landslide and seismic activities. In addition, SKADI will generate a global digital elevation model (DEM) of about one order of magnitude better, in terms of resolution and height accuracy, than the current reference provided by TanDEM-X.
The SKADI instrument consists of a cross-platform Ka-band radar interferometer with two spacecraft that fly in a reconfigurable formation and can dynamically adapt to the needs of scientific observation. Cross-track SAR interferometry is an established remote sensing technique for large-scale measurements of static and dynamic topography and the use of Ka band minimizes systematic biases and errors that would be caused at lower frequencies due to wave penetration into semi-transparent media. SKADI’s unique ability to provide time series of highly accurate surface topography measurements allows the mission’s primary scientific objectives to be optimally fulfilled, namely
a) the monitoring of permafrost degradation by means of DEM acquisitions with short repetition intervals and estimates of volume changes in time,
b) the measurement of snow topographic changes to observe different snow regimes to feed hydrological models for a more precise prediction of water availability, and
c) the measurements of glaciers, ice caps, ice-clad volcanoes and their mass balance and modelling of ice dynamics and ice/climate interactions.
At the same time, the SKADI measurements allow to serve a number of secondary science objectives related to floating ice and geosphere applications such as
a) the measurement of sea ice and fresh water ice topography to define the surface-air-interface,
b) the monitoring of geohazards involving large deformations and volume changes caused by landslides, glacier lake outbursts, rockfalls, mining, landfill, volcanic activities and seismic events,
c) the measurement of a global DEM with unprecedented resolution and accuracy.
SKADI will moreover complement and fill critical observation gaps of the current Copernicus and Earth Explorer missions (e.g., Sentinel, Cryosat) by providing frequency diversity and enhanced spatial resolution, while at the same time offering the Earth Observation community and future ESA missions (e.g., Aeolus, EarthCARE) a global topographic reference of superior accuracy and resolution, which enables a major step forward in improving the quality and interpretation of a vast amount of past, present, and future Earth observation data. A first order performance of the mission products reveal that very accurate DEM change products can be expected, with accuracies in the order of decimetres to centimetres.
In comparison to previous SAR missions, the short wavelength in Ka band allows a reduction of the size and weight of the antennas and spacecraft and enables the joint launch of two radar satellites with a single medium-sized launch vehicle like Vega C. In this regard, the SKADI space segment offers also a unique platform to explore and demonstrate new bi- and multistatic SAR techniques, technologies and applications which are expected to shape the future of radar remote sensing.
The SKADI mission concept and the associated space segment have been developed in two Pre-Phase 0 studies in close collaboration with Airbus DS and OHB. Both industry partners proposed innovative Ka-band SAR instrument architectures and showed the feasibility of SKADI within the programmatic constraints and the cost cap provided by ESA in its call for Earth Explorer 11 mission ideas. We believe that the versatility and technological innovation of SKADI are an important complement to its unique scientific objectives, thereby increasing its impact on societal welfare.
The consolidated mission objectives, the well-defined mission products, the highly accurate performance and the innovative instrument design will be presented. Following the encouraging recommendations provided in the ACEO (Advisory Committee for Earth Observation) report, the SKADI team is working towards the submission of a revised version of the mission proposal for the next call for ESA Earth Explorer missions.
[1] In Norse mythology, Skaði (/ˈskɑːði/, sometimes anglicized as Skadi, Skade, or Skathi) is a jötunn and goddess associated with winter and mountains.
The Atmospheric Thermodynamic LidAr in Space (ATLAS) is a mission concept proposed to the European Space Agency in the frame of “Earth Explorer-11 Mission Ideas” Call with the aim to develop the first Raman Lidar in space capable to measure simultaneously atmospheric temperature (T) and water vapour mixing ratio (WVMR) with high temporal and spatial resolutions.
Accurate measurements of these thermodynamic profiles in the lower troposphere are essential for the understanding of water and energy cycles as well as the prediction of extrem events, that nowadays still show huge deficiencies on all temporal and spatial scales.1
Range-resolved rotational and vibrational Raman scattering measurements of laser radiation represents a selective and sensitive method for measuring vertical profiles that can be obtained from specific ratios of the Raman backscattered signals. As the laser pulses propagate through the atmosphere, part of their energy is backscattered, elastically or inelastically, to the instrument by particles and molecules in the atmosphere. Each different species produces a specific frequency shift. The Raman lidar technique, exploiting the spectrally resolved pure-rotational and rotational-vibrational Raman scattering phenomena, allows for measuring a wide range of compositional properties of the atmosphere. This is based on the emission of a single emitted laser wavelength and the implementation of an adequate receiver including a number of spectrally separated channels, each one tuned on the specific frequency shift of the considered atmospheric species.
The space-borne Raman Lidar considered in ATLAS collects six lidar signals: the water vapour roto-vibrational Raman signal, the high- and low-quantum number O2-N2 rotational Raman signals both in the anti-Stokes and Stokes branches and the elastic backscattered signals at the laser wavelength.
Based on the application of the roto-vibrational Raman lidar technique, vertical profiles of WVMR are obtained from the ratio of the water vapour signal to a reference signal2, in this case a temperature-independent reference signal obtained from a linear combination of the four rotational Raman signals collected. Atmospheric temperature profiles are obtained from the ratio of high-to-low quantum number rotational Raman Stokes and Anti-Stokes signals3.
In addition to WVMR and temperature profiles, further products can be measured as side-products, such as the particle backscatter and extinction coefficient profiles in the UV4, the relative humidity, the planetary boundary layer depth, obtained from the temperature profiles, and atmospheric stability parameters such as buoyancy.
An assessment of the specifications of the different lidar sub-systems has been performed with an analytical simulation model for space-borne Raman lidar systems5 and verified through an end-to-end numerical simulation model.
The laser transmitter consists in an injection-seeded, diode-laser pumped Nd:YAG. The single shot energy is 1 J with a repetition rate of 200 Hz at a wavelength of 354.7 nm. The receiver involves a telescope with a primary mirror diameter of 2 m in Cassegrain configuration and a receiving unit for the collection and detection of the Raman signals. The spectral selection is made with interference filters defined to minimize the uncertainties.
The selected orbit for the satellite is a sun synchronous polar orbit with a local time descending node at 06:00 (dawn-dusk orbit) and an orbital height of 450 km. This kind of orbit guarantees a sun zenith angle on the sub-satellite point close to 90°, in order to reduce the background radiation, and optimal illumination conditions for power generation and on-board thermal management.
Accurate technological pre-feasibility studies concerning the different transmitting and receiving sub-systems have been carried out by different space companies, with an overall end-to-end assessment from OHB-Germany.
To estimate the performances in different atmospheric and lighting conditions, a numerical end-to-end simulator has been developed at the University of Basilicata. The simulator takes into account the behaviour of all the devices in the experimental system and provides simulated Raman signals including a background contribution from atmosphere, surface and clouds6. Simulations were performed considering different standard atmospheric models (Mid Latitude Summer/Winter, Tropical, Sub Arctic Summer/Winter) and sun zenith angle (low, standard and high background).
The simulations with low-background conditions show a relative uncertainty for WVMR to be less than 20% up to 8 km and 10% up to 5 km for Mid Latitude Summer and Tropical.
An uncertainty less than 20% up to 5km is achieved with low-background for Mid Latitude Winter and Sub-Arctic Summer/Winter and for with standard-background for Mid Latitude Winter, Tropical and Sub-Arctic Winter. Very useful results can still be achieved even in high-background conditions for Tropical (20% up to 3 km), Mid Latitude Summer (30% up to 2 km) and Mid Latitude Winter (20% up to 5 km).
The estimated uncertainty (K) for temperature measurements is in the range of 0.6-1 K for all the atmospheric models and all the background conditions up to 15 km.
The simulations were performed considering a vertical resolution of 200 m and a horizontal resolution of 50 km, corresponding to an integration of 7.5 s.
Such accuracy would allow to reveal temperature and moisture gradients in the lower troposphere, as well as to derive the daytime PBL depth from the temperature profiles.
Further simulations performed along several orbits around the Earth, which confirm the capabilities of ATLAS, will be presented in a forthcoming paper. The simulations will use data relating to thermodynamic parameters and optical properties of aerosols and optical-geometric clouds extracted from NASA's Goddard Earth Observing System Model (GEOS-5) analysis, with the aim to realize an OSSE for the estimation of the impact of ATLAS’ spatial data on weather forecasting.
(1) Wulfmeyer, V.; Hardesty, R. M.; Turner, D. D.; Behrendt, A.; Cadeddu, M. P.; Di Girolamo, P.; Schlüssel, P.; Van Baelen, J.; Zus, F. A Review of the Remote Sensing of Lower Tropospheric Thermodynamic Profiles and Its Indispensable Role for the Understanding and the Simulation of Water and Energy Cycles. Reviews of Geophysics 2015, 53 (3), 819–895. https://doi.org/10.1002/2014RG000476.
(2) Whiteman, D. N.; Melfi, S. H.; Ferrare, R. A. Raman Lidar System for the Measurement of Water Vapor and Aerosols in the Earth’s Atmosphere. Appl. Opt., AO 1992, 31 (16), 3068–3082. https://doi.org/10.1364/AO.31.003068.
(3) Behrendt, A.; Reichardt, J. Atmospheric Temperature Profiling in the Presence of Clouds with a Pure Rotational Raman Lidar by Use of an Interference-Filter-Based Polychromator. Appl. Opt., AO 2000, 39 (9), 1372–1378. https://doi.org/10.1364/AO.39.001372.
(4) Ansmann, A.; Wandinger, U.; Riebesell, M.; Weitkamp, C.; Michaelis, W. Independent Measurement of Extinction and Backscatter Profiles in Cirrus Clouds by Using a Combined Raman Elastic-Backscatter Lidar. Appl. Opt., AO 1992, 31 (33), 7113–7131. https://doi.org/10.1364/AO.31.007113.
(5) Di Girolamo, P.; Behrendt, A.; Wulfmeyer, V. Space-Borne Profiling of Atmospheric Thermodynamic Variables with Raman Lidar: Performance Simulations. Opt. Express, OE 2018, 26 (7), 8125–8161. https://doi.org/10.1364/OE.26.008125.
(6) Di Girolamo, P.; Behrendt, A.; Wulfmeyer, V. Spaceborne Profiling of Atmospheric Temperature and Particle Extinction with Pure Rotational Raman Lidar and of Relative Humidity in Combination with Differential Absorption Lidar: Performance Simulations. Appl. Opt., AO 2006, 45 (11), 2474–2494. https://doi.org/10.1364/AO.45.002474.
Numerical Weather Prediction has achieved remarkable success in extending the frontiers of predictability both on a global and regional scale, and to support climate reanalysis. Increasingly many centres are moving from an atmospheric prediction system towards an earth system prediction system, both for its inherent value and also because accurate treatment of the earth system improves weather prediction. This shift is fundamentally changing observation requirements. For global models in particular this shift has to be met primarily through the space component of the Global Observing System.
It is harder to assess the observation requirement for systems whose scientific and technical development is less mature. Few predicted 20 years ago how important satellite observations sensitive to water vapour would become, given in the early days of satellite data assimilation they had little impact. It is therefore challenging to think beyond what has an impact now, and what is needed now, and what can be demonstrated now, to arrive at an evidence based assessment of what will be needed in 5, 10 and even 20 years time. However that is what we must do, because that is the timescale involved. For large operational programmes we have to look far into the future. Smaller missions can be more responsive, but even these take several years to develop. There are techniques to assess the impact of future observations in a system with comparable scientific maturity to current systems (e.g. OSSE, EDA) but when we have to speculate on the future capability of systems that are not even developed yet, the task becomes much more challenging.
In this short presentation, we will review the tools available to assess the value of observations, and summarise what we know about their value, in the context of the ECMWF forecast system, and what this implies about the case for surface based networks and future space sector developments. Furthermore, techniques that enable us to assess the potential of future networks will be presented, and how they can be used to inform and guide future observation developments.
The water cycle is fundamental to life and central to processes of the Earth system. It has been the subject of much research so that it is largely well-understood, but surprisingly there are still important aspects of it which we cannot observe well, and which are therefore not properly understood. An important set of these gaps relates to processes on timescales from fractions of an hour to a few days. Although local observations are possible (for example in dedicated field campaigns), we cannot observe significant processes such as mesoscale convective system (MCS) development and the partitioning of precipitation at the land surface on these fine timescales and over extended regions. Models of these processes are therefore poorly constrained, and, importantly, are known to have weaknesses.
These processes relate to major challenges such as water resources for human society, and are important for regions of the world (e.g. the Mediterranean basin, Africa) which are especially vulnerable to climate change. These challenges therefore go beyond pure research interest and relate to serious societal concerns. For example, in the Tropics as much as 50% of current rainfall is due to MCS events. As Earth’s climates changes in the coming decades we expect this fraction to increase (due to a warmer and wetter world), but we cannot predict with confidence what the changes will be. As well as these concerns for the future, there are current impacts (flooding, etc.) which can lead to loss of life and much damage, and which cannot be well-managed without improved understanding of the underlying hydrometeorology.
These concerns motivated the design of a mission to allow these rapid water cycle processes to be observed, especially at mid and low latitudes. Two ways of improving temporal sampling are to use a constellation of satellites or to use geosynchronous orbit; the Hydroterra mission concept proposes to use a radar in geosynchronous orbit. Radar is sensitive to water both in the atmosphere and at the surface, and allows much finer spatial resolution than is possible using purely passive sensors. A geosynchronous orbit gives great versatility in both coverage and temporal sampling: a single satellite could image almost anywhere across Africa and southern to mid-Europe, and form images whenever needed. The much longer range than for low Earth orbit satellites can be compensated by increasing the integration time and not imaging at very fine spatial resolution.
During the Phase 0 study for ESA, which ran from 2018 to 2020, the Hydroterra team evaluated potential science applications in some detail and performed critical studies of implementation concepts. Field campaigns in support of the mission science were executed. The principal findings of these studies will be presented. In summary the science case covers topics such as MCS development in Europe and Africa, the land surface energy balance / water partitioning, snow accumulation and melt, and landslides. Hydroterra’s measurement capability also creates opportunities for additional science related to earthquakes, volcanoes, and the ionosphere, although these are not mission drivers. No technical barriers were identified for Hydroterra, although some technologies (e.g. large deployable antennas, high power RF components for low pulse rates and high duty cycles) require further development or validation.
There is a strong science need for observations of the water cycle at scale, especially for low to mid-latitudes, and on timescales from fractions of an hour to a few days. A geosynchronous radar appears to be an excellent match to this requirement and would be a truly innovative development of our Earth observation capability. We are confident that Hydroterra could unlock significant new science.