Patterns in the CERES Global Mean Data, Part 3. Cloud Area Fraction, Atmospheric Energy Budgets, DLR Update. Miklos Zagoni

Similar documents
Patterns in the CERES Global Mean Data

Deducing Earth s Global Energy Flows from a Simple Greenhouse Model

Patterns in the CERES Global Mean Data, Part 3

A new diagram of Earth s global energy budget

Seeking a consistent view of energy and water flows through the climate system

Interannual variability of top-ofatmosphere. CERES instruments

History of Earth Radiation Budget Measurements With results from a recent assessment

Lecture 3. Background materials. Planetary radiative equilibrium TOA outgoing radiation = TOA incoming radiation Figure 3.1

Understanding the Greenhouse Effect

Global Energy and Water Budgets

- matter-energy interactions. - global radiation balance. Further Reading: Chapter 04 of the text book. Outline. - shortwave radiation balance

Changes in Earth s Albedo Measured by satellite

Radiative Equilibrium Models. Solar radiation reflected by the earth back to space. Solar radiation absorbed by the earth

Earth s Radiation Budget & Climate

Solar Insolation and Earth Radiation Budget Measurements

Earth s Energy Balance for Clear, Cloudy and All-Sky Conditions

Lecture # 04 January 27, 2010, Wednesday Energy & Radiation

Friday 8 September, :00-4:00 Class#05

ATMOS 5140 Lecture 7 Chapter 6

Radiation, Sensible Heat Flux and Evapotranspiration

Radiation in climate models.

Radiation balance of the Earth. 6. Earth radiation balance under present day conditions. Top of Atmosphere (TOA) Radiation balance

di λ ds = ρk λi λ B λ (T ) + ρk λ dz' )= B λ (T(z'))e I λ (z TOA + k λ Longwave radiative transfer Longwave radiative transfer

How Accurate is the GFDL GCM Radiation Code? David Paynter,

ATMOS 5140 Lecture 1 Chapter 1

Earth Systems Science Chapter 3

and Atmospheric Science, University of Miami, 4600 Rickenbacker Causeway, Miami, FL 33149, USA.

Atmospheric "greenhouse effect" - How the presence of an atmosphere makes Earth's surface warmer

Sun and Earth s Climate

Electromagnetic Radiation. Radiation and the Planetary Energy Balance. Electromagnetic Spectrum of the Sun

Xianglei Huang University of Michigan Xiuhong Chen & Mark Flanner (Univ. of Michigan), Ping Yang (Texas A&M), Dan Feldman and Chiancy Kuo (LBL, DoE)

A New Basic 1-Dimension 1-Layer Model Obtains Excellent Agreement With the Observed Earth Temperature

Data and formulas at the end. Exam would be Weds. May 8, 2008

Constraints on the Interannual Variation of Global and Regional Topof-Atmosphere. Inferred from MISR Measurements. Roger Davies

9/5/16. Section 3-4: Radiation, Energy, Climate. Common Forms of Energy Transfer in Climate. Electromagnetic radiation.

Lecture 2 Global and Zonal-mean Energy Balance

Earth s Energy Balance and the Atmosphere

Variability in Global Top-of-Atmosphere Shortwave Radiation Between 2000 And 2005

Earth s Energy Budget: How Is the Temperature of Earth Controlled?

Characterization of the Present-Day Arctic Atmosphere in CCSM4

Name(s) Period Date. Earth s Energy Budget: How Is the Temperature of Earth Controlled?

Radiation and the atmosphere

Key Feedbacks in the Climate System

NOTES AND CORRESPONDENCE. On the Radiative and Dynamical Feedbacks over the Equatorial Pacific Cold Tongue

Monday 9 September, :30-11:30 Class#03

Climate Feedbacks from ERBE Data

Atmospheric "greenhouse effect" - How the presence of an atmosphere makes Earth's surface warmer

P1.30 THE ANNUAL CYCLE OF EARTH RADIATION BUDGET FROM CLOUDS AND THE EARTH S RADIANT ENERGY SYSTEM (CERES) DATA

Is the Earth s climate system constrained?*+

Spectrum of Radiation. Importance of Radiation Transfer. Radiation Intensity and Wavelength. Lecture 3: Atmospheric Radiative Transfer and Climate

Lecture 3: Atmospheric Radiative Transfer and Climate

The flow of Energy through the Earth s Climate System: Land and Ocean Exchanges

Climate change with an iris-effect. Thorsten Mauritsen and Bjorn Stevens Max Planck Institute for Meteorology, Hamburg

Overview of the Unified Radiation Package for NCEP models

Mon April 17 Announcements: bring calculator to class from now on (in-class activities, tests) HW#2 due Thursday

How good are our models?

Surface Radiation Budget from ARM Satellite Retrievals

Glaciology HEAT BUDGET AND RADIATION

Satellite-based estimate of global aerosol-cloud radiative forcing by marine warm clouds

An Interconnected Planet

Radiation in the atmosphere

Lecture 11: Meridonal structure of the atmosphere

Getting our Heads out of the Clouds: The Role of Subsident Teleconnections in Climate Sensitivity

2. Illustration of Atmospheric Greenhouse Effect with Simple Models

Dependence of Radiative Forcing on Mineralogy in the Community Atmosphere Model

Journal of the Meteorological Society of Japan, Vol. 80, No. 6, pp ,

The Arctic Energy Budget

Can we measure from satellites the cloud effects on the atmospheric radiation budget?

Climate Change: Moonshine, Millions of Models, & Billions of Data New Ways to Sort Fact from Fiction

Climate Dynamics Simple Climate Models

Effect of cirrus microphysical parameterizations on radiative fluxes

Outgoing Longwave Radiation Product: Product Guide

Operational Uses of Bands on the GOES-R Advanced Baseline Imager (ABI) Presented by: Kaba Bah

CERES_EBAF-Surface_Ed2.7 Data Quality Summary (June 7, 2013)

Mon Oct 20. Today: radiation and temperature (cont) sun-earth geometry energy balance >> conceptual model of climate change Tues:

Global Energy Balance: Greenhouse Effect

Arctic climate projections and progress towards a new CCSM. Marika Holland NCAR

Radiative Effects of Contrails and Contrail Cirrus

What determines meridional heat transport in climate models?

Observational constraints on Arctic Ocean clouds and radiative fluxes during the early 21st century

Radiative Sensitivity to Water Vapor under All-Sky Conditions

Aerosol Radiative Forcing DEPARTMENT OF PHYSICS The AeroCom Prescribed Experiment: Towards the Quantification of Host Model Errors

Energy and Radiation. GEOG/ENST 2331 Lecture 3 Ahrens: Chapter 2

SATELLITE OBSERVATIONS OF CLOUD RADIATIVE FORCING FOR THE AFRICAN TROPICAL CONVECTIVE REGION

Tropical cirrus and water vapor: an effective Earth infrared iris feedback?

The inputs and outputs of energy within the earth-atmosphere system that determines the net energy available for surface processes is the Energy

1) The energy balance at the TOA is: 4 (1 α) = σt (1 0.3) = ( ) 4. (1 α) 4σ = ( S 0 = 255 T 1

Do climate models over-estimate cloud feedbacks?

Sea Ice Update. Marika Holland and David Bailey. National Center for Atmospheric Research. CESM Workshop. University of Toronto

Standalone simulations: CAM3, CAM4 and CAM5

Saharan Dust Longwave Radiative Forcing using GERB and SEVIRI

What determines meridional heat transport in climate models?

Topic # 11 HOW CLIMATE WORKS PART II

An Overview of Atmospheric Analyses and Reanalyses for Climate

Understanding and attributing climate variations: The role of energy. Kevin E Trenberth NCAR

Aspects of a climate observing system: energy and water. Kevin E Trenberth NCAR

ATMS 321: Sci. of Climate Final Examination Study Guide Page 1 of 4

Influence of Clouds and Aerosols on the Earth s Radiation Budget Using Clouds and the Earth s Radiant Energy System (CERES) Measurements

9.4. The newly released 5-year Terra-based monthly CERES radiative flux and cloud product. David R. Doelling, D. F. Keyes AS&M, Inc.

Extratropical and Polar Cloud Systems

Transcription:

Patterns in the CERES Global Mean Data, Part 3. Cloud Area Fraction, Atmospheric Energy Budgets, DLR Update β eff eff = β obs ε obs ε IR IR Miklos Zagoni miklos.zagoni@t-online.hu 2018 Earth Radiation Budget Workshop / 30 th CERES Science Team Meeting September 10-13, 2018, NCAR, Boulder, CO. Instead of the traditional paradigm of properties define processes, study how processes define property (Graeme Stephens, GEWEX Closing Plenary, May 11, 2018)

Flashback Observing and Modeling Earth s Energy Flows Surveys in Geophysics (2012) Special Issue Flux name (all-sky) Source Value W/m 2 SFC LW Up Kato et al. 398 ± 3 SFC LW Dn Kato et al. 345 ± 7 SFC Net Kato et al. 106 ± 12 TOA LW Up Solar Abs by Atm Solar Abs by SFC LW CRE Trenberth and Fasullo Trenberth and Fasullo Trenberth and Fasullo Stevens and Schwartz 238.5 78 161 26.5

Flashback Observing and Modeling Earth s Energy Flows Surveys in Geophysics (2012) Special Issue Flux name (all-sky) Source Value W/m 2 N N UNIT W/m 2 Diff W/m 2 SFC LW Up Kato et al. 398 ± 3 15 397.5 0.5 SFC LW Dn Kato et al. 345 ± 7 13 344.5 0.5 SFC Net Kato et al. 106 ± 12 4 106.0 0.0 TOA LW Up Solar Abs by Atm Solar Abs by SFC LW CRE Trenberth and Fasullo Trenberth and Fasullo Trenberth and Fasullo Stevens and Schwartz 238.5 9 238.5 0.0 78 3 79.5-1.5 161 6 159.0 2.0 26.5 1 26.5 0.0

Costa and Shine (2012) J Atmos Sci Global annual means, LBL RT, clear-sky ULW = 386 Wm -2 OLR = 259 Wm -2 ATM = 194 Wm -2 G = 127 Wm -2 WIN = 65 Wm -2 WIN G ATM OLR ULW 2OLR CS12 = 65 127 194 259 386 518 Pattern = 65 / 130 / 195 / 260 / 390 / 520 Integer ratios: 1 / 2 / 3 / 4 / 6 / 8 Diff (Wm -2 ) = 0 3 1 1 4 2

Costa and Shine (2012) J Atmos Sci Global annual means, LBL RT, clear-sky ULW = 386 Wm -2 OLR = 259 Wm -2 ATM = 194 Wm -2 G = 127 Wm -2 WIN = 65 Wm -2 Clear-sky: 2 OLR = E(SFC) 2 G = OLR 2 WIN = G 2 ATM = ULW WIN G ATM OLR ULW 2OLR CS12 = 65 127 194 259 386 518 Pattern = 65 / 130 / 195 / 260 / 390 / 520 Integer ratios: 1 / 2 / 3 / 4 / 6 / 8 Diff (W/m 2 ) = 0 3 1 1 4 2

SFC (SW + LW) energy in = 2 TOA LW out Clear-sky TOA SW in TOA SW up TOA LW up SFC SW down SFC SW up SFC SW in(down up) SFC LW down SFC SW + LW absorbed TOALW out 2 TOA LW out Diff 2TOA LW up Diff EBAF Ed2.8 339.87 52.50 265.59 244.06 29.74 214.32 316.27 530.59 265.59 531.18 0.59 531.18 0.59 Clear-sky, EBAF Ed2.8 Surface energy absorbed SW + LW (Wm -2 ): (SW down SW up) + LW down = (244.06 29.74) + 316.27 = 214.32 + 316.27 = 530.59 TOA LW out = 265.59 2 TOA LW out = = 531.18 Diff = 0.59 Wm -2 214.32 + 316.27 = 2 265.59 0.59

SFC SW + LW energy in = 2OLR(all) + SFC LWCRE All-sky TOA SW in TOA SW up TOA LW up SFC SW down SFC SW up SFC SW in SFC LW down SFC SW + LWabsorbed SFC LW up SFC Net G SFC LWCRE 2TOA LW Up + SFC LWCRE Diff EBAF Ed2.8 339.87 99.62 239.60 186.47 24.13 162.34 345.15 507.49 398.27 109.22 158.67 28.88 508.08 0.59 SFC energy in (SW + LW ) = = 162.34 + 345.15 = 507.49 = 2 x TOA LW out + SFC LWCRE = 2 x 239.6 + 28.88 = 508.08 Diff = EEI? = 0.59 W m -2

EBAF Ed4.0 All-sky TOA SW in TOA SW up TOA LW up SFC SW down SFC SW up SFC SW in SFC LW down SFC SW + LWabsorbed SFC LW up SFC Net G SFC LWCRE 2TOA LW Up + SFC LWCRE Diff Ed4.0 340.04 99.23 240.14 187.04 23.37 163.67 344.97 508.64 398.34 110.30 158.20 30.90 511.18 2.54 All-sky, Ed4.0 Energy absorbed SFC (W m -2 ): SW in + LW in = 163.67 + 344.97 = 508.64 2 x OLR + SFC LWCRE = 2 x 240.14 + 30.90 = 511.18 Diff = 2.54 W m -2

Stephens et al. (2012) Nat Geosci

Stephens et al. (2012) Nat Geosci

Wild et al (2013) update 1 = 26.6 W/m 2, max(wild-edmz) = -3.8 W/m 2 (DLR) g

Diff = 0.05 W/m2

Best fit: 1 = 26.68 Wm -2, max = 2.7 Wm -2 (Sensible Heat)

Kato et al (2018, J Clim) Table 5 Flux name (all-sky) Ed4 (W m -2 ) N (integer) EdMZ (W m -2 ) Ed4 EdMZ (W m -2 ) TOA SW insolation 340.0 TOA SW up 99.1 TOA LW up 240.0 9 240.0 0.0 SW down 187.1 7 186.7 0.4 SW up 23.3 1 26.67-3.4 SW net 163.8 6 160.0 3.8 LW down 344.7 13 346.7-2.0 LW up 398.3 15 400.0-1.7 LW net -53.6 2-53.3-0.3 SW + LW net 110.2 4 106.7 3.5 AtmSW net 77.1 3 80.0-2.9 AtmLW net -186.5 7-186.7 0.2 AtmSW + LW net -109.4 4-106.7-2.7

Brussels, Atomium

CERES EBAF Ed4.0 and EdMZ Fluxes

Trenberth and Fasullo (2012) 5.6 % 94.4 % 100 % Earth s atmosphere: almost IR-opaque (94 %)

The opacity gap can be closed by the blanketing effect of clouds 5.6 % 94.4 % 100 % Note that the largest effect of clouds on the outgoing longwave flux is in the atmospheric window (8 12 mm). (Kiehl and Trenberth 1997)

A Conceptual Approach: Closed Shell Geometry SW-transparent, LW-opaque, non-turbulent

Deduction, Step 1. UNIT change 1 => 3 Allow ONE unit of atmospheric SW-absorption: Solar Absorbed Atmosphere (SAA) = 1, Solar Absorbed Surface (SAS) = 2

After unit change 3 => 9 allow ONE unit for partial atmospheric LW-transparency WIN = 1 ATM = 8 Incl. clouds

introduce ONE unit for cloud LW radiative effect WIN = 1 1 ATM = 8 LW CRE Incl. clouds 1

and close the window with it! The result is an effectively IR-opaque system. WIN = 1 LW CRE LW CRE 1 Incl. clouds ATM = 8 From a surface perspective: what is lost in the window is gained back by the greenhouse effect of clouds

CLEAR-SKY basics: SFC / TOA = TWO / ONE UNIT(clear) = WIN(clear)= 66.7W/m 2, f(clear) = OLR/ULW = 2/3 ASR ATM(clear) up OLR clear WIN(clear) 286.7 20.0 73.3 E(SFC, clear) = SW in + LW in = 2 OLR(clear)

ALL-SKY basics: SFC/TOA= 2OLR + 1UNIT(all) UNIT(all) = LWCRE = 26.68 W/m 2, f(all) = 3/5 ASR ATM up OLR all WIN LWCRE = 1 = 26.68 240.4 80.1 3 E(SFC, all) = SW in + LW in = 2 OLR(all) + 1 UNIT(all)

EdMZ EdMZ EdMZ 99.60 53.36 46.24 240.12 266.8 26.68 0.33 19.89 19.56 Loeb et al. (2017)

Clouds Effective (IR-opaque) Cloud Area Fraction Does a Cloud Area Fraction follow from the geometric pattern? Yes, it does. WIN(clear) = 1/4 OLR(clear) = 1/6 ULW WIN(all) = 1/9 OLR(all) = 1/15 ULW This defines beta as: WIN(all) = (1 β eff ) WIN(clear) => 1/15 = (1 β eff ) 1/6 β eff = 3/5 = 0.6

Observed Effective Cloud Area Fraction Effective Cloud Amount = Observed Cloud Amount weighted by Cloud IR Emissivity β eff = β obs ε IR CERES SYN1deg Apr2000-March2018: β obs = 0.675 (0.665) ε IR = 0.863 (0.828) β eff = 0.675 0.863 = 0.58 (0.55) 0.6 = 0.68 x 0.88 TRUE beta eff?

Stubenrauch et al. BAMS (2013) β eff : AIRS = 0.46; ISCCP = 0.51; HIRS = 0.61; MODIS = 0.66

CLOUDY basics: SFC/TOA= 2OLR + 1UNIT(cloudy) UNIT(cloudy) = OLR(clear) OLR(cloudy) = 44.45W/m 2, f(cloudy) = 5/9 Cloudy up OLR cloudy WIN βeff = 3/5 E(SFC, cloudy) = SW in + LW in = 2OLR(cloudy) + 1 UNIT (cloudy)

CLOUDY basics: SFC/TOA= 2OLR + 1UNIT(cloudy) UNIT(cloudy) = OLR(clear) OLR(cloudy) = 44.45W/m 2, f(cloudy) = 5/9 ASR Cloudy up OLR cloudy WIN 208.9 βeff = 3/5 3 C 8 + C 13.3 84.5 E(SFC, cloudy) = SW in + LW in = 2OLR(cloudy) + 1 UNIT (cloudy)

OLR(all-sky) = 9 = 240.12 W/m 2 5 4 Cloudy OLR = 4 1 OLR clear = 4 3 = ATM up WIN = 1 βeff = 0.6 1 βeff = 0.4 10 8 9 2 1 6 2 ULW = 400 0.6 = 240 W/m 2, Turb= 53 W/m 2 LWCRE ULW=400 0.4=160 W/m 2, Turb=133 0.4=53 Surface ULW = 400 W/m 2 (15), Turbulent fluxes = 107 W/m 2 (4), UNIT = 1 = 26.68 W/m 2

Effective cloud layer at work f(all) = OLR(all)/ULW = 240/400 = 9/15 = 3/5 = β eff f(all) = all-sky transfer function = OLR(all)/ULW = beta(eff) The cloud-covered part of the surface radiates OLR

Cloud philosophy forβeff = 3/5 The cloud-covered part of the SFC is βeff = 0.6 the effective clear-sky area fraction is (1 βeff) = 0.4 the Clear/Cloudy area ratio is 0.4 / 0.6 = 2/3. βeff = 3/5 = OLR(all)/ULW = f(all) Clear/Cloudy ratio = 2/3 = OLR(clear)/ULW = f(clear). OLR(clear) OLR(all) = LWCRE defines UNIT(all). OLR(clear) OLR(cloudy) = LWCRE/β defines UNIT(cloudy) (2/3) (3/5) = 1/15 ULW = UNIT(all) (1/15) / (3/5) = 1/9 ULW = UNIT(cloudy) UNIT(cloudy) / (2/3) = 1/6 ULW = UNIT(clear) = WIN(clear)

Basic ratios forβ eff = 3/5 Hierarchy of energy units and levels WIN(all) = βeff WIN(cloudy) + (1 βeff) WIN(clear) LWCRE(all) =βeff LWCRE(cloudy) + (1 βeff) LWCRE(clear) WIN(cloudy) = LWCRE(clear) = 0, hence: UNIT(all) = OLR(clear) OLR(all) = LWCRE(all) = 26.68 W/m 2 UNIT(cloudy) = OLR(clear) OLR(cloudy) = LWCRE(cloudy) = 44.47 W/m 2 UNIT(clear) = OLR(clear) / 4 = WIN(clear) = 66.70 W/m 2 ULW = 6 UNITS(clear) = 9 UNITS(cloudy) = 15 UNITS(all) OLR(clear) = 4 UNITS(clear) = 6 UNITS(cloudy) = 10 UNITS(all) G(clear) = 2 UNITS(clear) = 3 UNITS(cloudy) = 5 UNITS(all) G(cloudy) = 4 UNITS(cloudy) G(all) = 6 UNITS(all) E(SFC, clear) = 20 UNITS(all) = 12 UNITS(cloudy)= 8 UNITS(clear) E(SFC, clear) = OLR(clear) + OLR(clear) = 8 UNITS(clear) E(SFC, cloudy) = OLR(cloudy) + OLR(clear) = 11 UNITS(cloudy) E(SFC, all) = OLR(all) + OLR(clear) = 19 UNITS(all) E(ATM, all) = E(SFC, all) + 2 LWCRE(all) = 21 UNITS(all)

Cloudy/Clear Conributions, β eff = 3/5 Atm SW Abs: Clear = 75 0.4 = 30, Cloudy = 84 0.6 = 50 W/m 2 => Atm SW Abs (all) = 80 W/m2, Cloudy / Clear = 5 / 3 Turbulent: Cloudy / Clear = 1 / 1 Cloudy part: 88.9 0.6 = 53.4 W/m 2 Clear-sky part: 133.4 0.4 = 53.4 W/m 2 All-sky mean turbulence = 106.8 W/m 2 Greenhouse: Cloudy / Clear = 2 / 1 Cloudy part: 177.9 0.6 = 106.8 W/m 2 Clear-sky part: 133.4 0.4 = 53.4 W/m 2 All-sky mean G(all) = 160.2 W/m 2 OLR: Cloudy (222.3) 0.6 = 133.4 W/m 2 = G(clear) = 5 Clear (266.8) 0.4 = 106.8 W/m 2 = Turb = 4 Perrfect. (TOO perfect, Monsieur Poirot would say.)

Clear-sky area division: 5/6, 1/6 Within the clear-sky part of the atmosphere, there is also an opaque region (5/6 of the surface) and a transparent one (1/6). 6/5 200.1 = 240.12 = OLR(all) 6 66.7 = 400.2 = ULW 5/6 1/6 5/6 E(SFC, clear) = 444.7 W/m 2 = 2 OLR(cloudy) 1/6 E(SFC, clear) = 88.9 W/m 2 = 2 UNITS(cloudy) E(SFC, clear) = 2 OLR(cloudy) + 2 LWCRE(cloudy) The opaque area(5/6) contributes to OLR(clear) by (OLR(clear) WIN) = ULW/2 = 5/6 OLR(all)=200.1 W/m 2, The transparent area(1/6) = Turb/2 = 1/6 ULW= 66.7 W/m 2. The opaquepart ofthe cloudless atmosphere extends the cloudy opacity by(5/6 2/5) = 1/3,toan all-skyof 3/5 + 1/3 = 14/15. The nominal(per unit area) radiations at the clear-sky opaque and transparent regions are OLR(all) and ULW. The OLR(clear) OLR(all) difference (=LWCRE) is the clear-sky area-weighted WIN(clear) = 2/5 WIN(clear) = WIN(all) Though this be madness, yet there is method in t.

Opaque area contributions: 3/5, 1/3 Opacity = 14/15 = 3/5 by clouds + 2/5 5/6 = 1/3 by GHGs Same area-weighted differences (2): 133.4 80.0 = 80.0 26.68 = 53.4 W/m 2 OLR: 3/5 5/9 ULW = 133.4; 1/3 3/5 ULW = 80.0; 1/15 ULW = 26.68 Cloud-opaqe area: 3/5 GHG-opaque area: 1/3 Transp.1/15 60% 33.3% 6.7% 3/5 222.3 2/5 5/6 240.12 2/5 1/6 400.2 133.4 (5) 80.0 (3) 26.68(1) OLR = GHG-opaque nominal rad. The surplus in the window region is leveled back by the minus over clouds. GHG-opaque / cloud-opaque contribution ratio: 80.0 / 133.4 = 3/5

The OLR(clear) surplus over the opaque-cloudy is the area-weighted surplus of OLR(clear) to opaque-clear. OLR(clear) OLR(cloudy) = LWCRE / βeff = 44.45 W/m 2 OLR(clear) ATM(clear) = WIN(clear) = 66.7 W/m 2 => LWCRE / (3/5) = 2/3 WIN(clear) => WIN(clear) 2/5 = WIN(all) = LWCRE. Cloudy-opaque + clear-sky GHG-opaque OLR(clear) OLR(all) = LWCRE = WIN(all) OLR(cloudy) = 222.3 2/3 LWCRE OLR(all) = 240.12 LWCRE 5/6 2/5 240.12 = 80.0 +2 Transparent OLR(transp) = ULW = 400.2 1/6 2/5 ULW = WIN = 26.68 3/5 222.3 =133.4-2 OLR(all) OLR(cloudy) = 2/3 LWCRE OLR(clear) OLR(cloudy) = 5/3 LWCRE OLR(clear) ATM(clear) = WIN(clear)

g

Earth s atmosphere is effectively IR-closed

Downward Longwave Update -1.34 347.25 345.91 240.41 2017-1.80 346.92 345.12 240.18 Mean -1.16 347.49 346.33 240.57 2016-0.44 347.60 347.16 240.65 2015-1.39 347.05 345.66 240.27 2014-1.75 346.92 345.17 240.18 2013-1.83 346.69 344.86 240.02 2012-2.74 346.51 343.78 239.89 3011-2.28 346.96 344.68 240.20 2010-2.24 347.02 344.78 240.25 2009-2.51 346.21 343.70 239.68 2008-2.98 346.90 343.92 240.16 2007-2.06 347.18 345.12 240.36 2006-1.09 346.82 345.73 240.11 2005-1.48 346.85 345.37 240.13 2004-1.71 347.11 345.40 240.31 2003-2.34 347.39 345.06 240.50 2002-1.26 346.65 345.39 239.99 2001-1.97 346.02 344.05 239.55 2000 Diff 13OLR/9 DLR(all-sky) OLR(all-sky) Year

DLR 13/9 OLR(all) EBAF Ed4.0 running 12-months means April 2000-March 2018 Range [-3.0; -0.5], Bias 1.8 W m -2, Trend +0.3 W m -2 / decade OLR(all) = 240.18 W/m 2 => TRUE DLR = 13/9 OLR(all)= 346.9W/m 2

Wild et al. 2017 AIP EdMZDLR = (13/9) OLR(all) EdMZprojection 21 st century: SFC LW Dn= OLR 13/9 = 13UNITS= 346.9 ±3 Wm -2 SFC LW Up= OLR 15/9 = 15UNITS= 400.3 ±3 Wm -2